Tarefa crb_papers.q070

Veredito

Pergunta feita ao analista

What is the causal effect of changes in bilateral trade volume with China (log_tot_trade) on a country's foreign-policy voting alignment (log_HRVOTE) at the country-year level?

Valores esperados e de onde vêm

Verificações

Caminho de referência e caminho do agente

A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.

Trajetória

Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.

1. 0Início

   What is the causal effect of changes in bilateral trade volume with China (log_tot_trade) on a country's foreign-policy voting alignment (log_HRVOTE) at the country-year level?

   ds_0040 (agent)

   | Variable Name | Description | |---------------|-------------| | (Unnamed) | Leading CSV observation index / row identifier imported with the file (simple sequential identifier for each row). | | statea | Numeric country identifier used to label each country observation in the panel (author/internal country code). | | log_HRVOTE | Natural logarithm of HRVOTE, a constructed measure of foreign-policy voting similarity/convergence (higher values indicate greater alignment as operationalized in the study). | | log_tot_trade | Natural logarithm of total bilateral trade (exports + imports) between China and the country in a given year (trade volume). | | statea_trade_gdp100 | Bilateral trade with China expressed as a percentage of the country’s GDP (scaled by 100). | | Joint_Dem_Dum | Binary indicator (0/1) denoting whether the dyad is jointly classified as democracies in that year (1 = both democracies, 0 = otherwise). | | log_cinc | Natural logarithm of the country’s Composite Index of National Capability (CINC) — a standard measure of material national capabilities. | | log_tot_ustrade | Natural logarithm of total bilateral trade between the country and the United States for the given year. | | us_aid100 | Amount of U.S. bilateral aid received by the country in that year, scaled by a factor of 100 (as provided in the replication dataset). | | dummy2004 | Indicator variable equal to 1 for observations from the year 2004 and 0 otherwise (year-specific flag). | | pts_score | Numeric PTS score included by the authors to capture a policy/preference-related index (operationalization and scale are described in the paper). | | lag_log_energ_prod | One-period lag of the natural logarithm of the country’s energy production (e.g., national oil/energy output in the prior year). | Data Description: This is a country-year panel assembled for the study period referenced in the paper (1992–2006) that combines bilateral economic statistics and country-level indicators for countries in Africa and Latin America. The dataset merges logged trade flows with measures derived from diplomatic behavior, state capability indices, trade shares relative to GDP, regime-type indicators, U.S. trade and aid flows, and lagged energy-production figures; many variables are log-transformed or scaled for comparability. Source material derives from standard international datasets and author-constructed series (trade statistics, capability indexes, voting/preference measures, aid records and national energy statistics), and the provided file has been pre-processed to a country-year format with the identifiers and derived variables noted above.

   file d34afa1c24ebcac28cef02b19848bdd6ce412bbdd7c128a423c1699b072c789c · frame —

   ref_iv (reference)

   file d34afa1c24ebcac28cef02b19848bdd6ce412bbdd7c128a423c1699b072c789c · frame —

   1. select {"columns":["log_HRVOTE","log_tot_trade","lag_log_energ_prod","log_cinc","us_aid100","log_tot_ustrade","Joint_Dem_Dum","pts_score","dummy2004","statea"]}
   2. dropna {"columns":["log_HRVOTE","log_tot_trade","lag_log_energ_prod","log_cinc","us_aid100","log_tot_ustrade","Joint_Dem_Dum","pts_score","dummy2004","statea"]}
   3. dummies {"column":"statea","drop_first":true,"prefix":"statea"}
2. 1Transformação
   ref_iv · select {"columns":["log_HRVOTE","log_tot_trade","lag_log_energ_prod","log_cinc","us_aid100","log_tot_ustrade","Joint_Dem_Dum","pts_score","dummy2004","statea"]}

   1289 → 1289 linhas

   Frame antes → depois: 17c907548f4d → 7208d361f79d
3. 2Transformação
   ref_iv · dropna {"columns":["log_HRVOTE","log_tot_trade","lag_log_energ_prod","log_cinc","us_aid100","log_tot_ustrade","Joint_Dem_Dum","pts_score","dummy2004","statea"]}

   1289 → 592 linhas

   Frame antes → depois: 7208d361f79d → 07f436ae385b
4. 3Transformação
   ref_iv · dummies {"column":"statea","drop_first":true,"prefix":"statea"}

   592 → 592 linhas

   Frame antes → depois: 07f436ae385b → 72828640aa76
5. 4Turno do modelo
   call_9bbeb41dreferenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Texto visível

   IV2SLS.from_formula('log_HRVOTE ~ 1 + controls + C(statea) + [log_tot_trade ~ lag_log_energ_prod]').fit(cov_type='robust', debiased=True)

   Chamadas pedidas

   • infer.iv_2sls

     {
       "dataset": "ref_iv",
       "endog": [
         "log_tot_trade"
       ],
       "exog": [
         "log_cinc",
         "us_aid100",
         "log_tot_ustrade",
         "Joint_Dem_Dum",
         "pts_score",
         "dummy2004",
         "statea_42.0",
         "statea_51.0",
         "statea_52.0",
         "statea_70.0",
         "statea_90.0",
         "statea_91.0",
         "statea_92.0",
         "statea_93.0",
         "statea_94.0",
         "statea_95.0",
         "statea_100.0",
         "statea_101.0",
         "statea_130.0",
         "statea_135.0",
         "statea_140.0",
         "statea_145.0",
         "statea_150.0",
         "statea_155.0",
         "statea_160.0",
         "statea_165.0",
         "statea_433.0",
         "statea_434.0",
         "statea_437.0",
         "statea_452.0",
         "statea_461.0",
         "statea_471.0",
         "statea_475.0",
         "statea_481.0",
         "statea_484.0",
         "statea_490.0",
         "statea_501.0",
         "statea_510.0",
         "statea_551.0",
         "statea_560.0",
         "statea_571.0",
         "statea_600.0",
         "statea_615.0",
         "statea_616.0",
         "statea_620.0",
         "statea_625.0",
         "statea_651.0"
       ],
       "instruments": [
         "lag_log_energ_prod"
       ],
       "se": "HC1",
       "y": "log_HRVOTE"
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
6. 5Ferramenta
   infer.iv_2slsv0.1.0call_9f461d54decidido pelo modeloreexecutável

   Motivo: IV2SLS.from_formula('log_HRVOTE ~ 1 + controls + C(statea) + [log_tot_trade ~ lag_log_energ_prod]').fit(cov_type='robust', debiased=True)

   Argumentos

   {
     "cluster": null,
     "dataset": "ref_iv",
     "endog": [
       "log_tot_trade"
     ],
     "exog": [
       "log_cinc",
       "us_aid100",
       "log_tot_ustrade",
       "Joint_Dem_Dum",
       "pts_score",
       "dummy2004",
       "statea_42.0",
       "statea_51.0",
       "statea_52.0",
       "statea_70.0",
       "statea_90.0",
       "statea_91.0",
       "statea_92.0",
       "statea_93.0",
       "statea_94.0",
       "statea_95.0",
       "statea_100.0",
       "statea_101.0",
       "statea_130.0",
       "statea_135.0",
       "statea_140.0",
       "statea_145.0",
       "statea_150.0",
       "statea_155.0",
       "statea_160.0",
       "statea_165.0",
       "statea_433.0",
       "statea_434.0",
       "statea_437.0",
       "statea_452.0",
       "statea_461.0",
       "statea_471.0",
       "statea_475.0",
       "statea_481.0",
       "statea_484.0",
       "statea_490.0",
       "statea_501.0",
       "statea_510.0",
       "statea_551.0",
       "statea_560.0",
       "statea_571.0",
       "statea_600.0",
       "statea_615.0",
       "statea_616.0",
       "statea_620.0",
       "statea_625.0",
       "statea_651.0"
     ],
     "instruments": [
       "lag_log_energ_prod"
     ],
     "level": 0.95,
     "se": "HC1",
     "subset": null,
     "y": "log_HRVOTE"
   }

   Figuras call_9f461d54

   Chave	Valor	Valor bruto	Erro-padrão	IC
   coef.log_tot_trade 2SLS effect of log_tot_trade on log_HRVOTE	0,0456169	0.045616922859273795	0,01351750.013517510987653032	0,0190639 – 0,0721699

   Diagnósticos

   • first_stage_F.log_tot_trade = 53,634553.634486350653276
   • partial_r2.log_tot_trade = 0,1085420.10854170914830286
   • weak_instrument = false
   • n_obs = 592592
   • se_type = "HC1"
   • n_clusters = —

   Tabelas (3)

   {
     "coefficients": [
       {
         "ci_high": 3.25663754005968,
         "ci_low": 1.0134507559232484,
         "coef": 2.135044147991464,
         "p": 0.00020414022951601186,
         "se": 0.5709765231718587,
         "t": 3.7392853494763316,
         "term": "Intercept"
       },
       {
         "ci_high": 0.3789852250864388,
         "ci_low": 0.10825007199738657,
         "coef": 0.24361764854191267,
         "p": 0.00044229152034591245,
         "se": 0.06891241402828543,
         "t": 3.5351779788459976,
         "term": "log_cinc"
       },
       {
         "ci_high": -0.005031967250645482,
         "ci_low": -0.04420570430936984,
         "coef": -0.02461883578000766,
         "p": 0.013856111161234898,
         "se": 0.00997120897092386,
         "t": -2.468992060220222,
         "term": "us_aid100"
       },
       {
         "ci_high": 0.038307067662934124,
         "ci_low": -0.02385187435696464,
         "coef": 0.007227596652984742,
         "p": 0.647988879489743,
         "se": 0.01582181958700607,
         "t": 0.456811974958969,
         "term": "log_tot_ustrade"
       },
       {
         "ci_high": 0.10324538394925944,
         "ci_low": 0.0015864239864053081,
         "coef": 0.05241590396783238,
         "p": 0.0432891193155605,
         "se": 0.02587607947735097,
         "t": 2.0256509110551852,
         "term": "Joint_Dem_Dum"
       },
       {
         "ci_high": 0.013503886613013128,
         "ci_low": -0.024832385116798625,
         "coef": -0.005664249251892748,
         "p": 0.5618386220259826,
         "se": 0.009758042129374558,
         "t": -0.5804698500779888,
         "term": "pts_score"
       },
       {
         "ci_high": -0.10333162513583508,
         "ci_low": -0.21225946025963108,
         "coef": -0.15779554269773308,
         "p": 2.065927622532759e-8,
         "se": 0.02772628521862751,
         "t": -5.691189477908147,
         "term": "dummy2004"
       },
       {
         "ci_high": -0.22626610249561907,
         "ci_low": -0.5908616598697473,
         "coef": -0.40856388118268316,
         "p": 0.000012892745005778966,
         "se": 0.09280346388699316,
         "t": -4.4024637020035335,
         "term": "statea_42.0"
       },
       {
         "ci_high": 0.3218200600361294,
         "ci_low": 0.022250922152384528,
         "coef": 0.17203549109425695,
         "p": 0.024458151364619634,
         "se": 0.07625176200576644,
         "t": 2.256151026139527,
         "term": "statea_51.0"
       },
       {
         "ci_high": 0.042347299998832175,
         "ci_low": -0.20034844153687237,
         "coef": -0.0790005707690201,
         "p": 0.20150066142179446,
         "se": 0.06177531522147401,
         "t": -1.2788371938822312,
         "term": "statea_52.0"
       },
       {
         "ci_high": -0.7402085836930549,
         "ci_low": -1.7493537822380998,
         "coef": -1.2447811829655773,
         "p": 0.0000016460712971016795,
         "se": 0.25686591099574707,
         "t": -4.846034953179082,
         "term": "statea_70.0"
       },
       {
         "ci_high": -0.20710706697835274,
         "ci_low": -0.5579424545324949,
         "coef": -0.3825247607554238,
         "p": 0.000021756623921469448,
         "se": 0.08930097627533641,
         "t": -4.2835451157444,
         "term": "statea_90.0"
       },
       {
         "ci_high": -0.04105356484391859,
         "ci_low": -0.31087214250156,
         "coef": -0.17596285367273928,
         "p": 0.010672781313714658,
         "se": 0.06867911065080803,
         "t": -2.562101518282678,
         "term": "statea_91.0"
       },
       {
         "ci_high": -0.15608994986973196,
         "ci_low": -0.4161489632755621,
         "coef": -0.28611945657264704,
         "p": 0.000018363937199120705,
         "se": 0.06619492961711994,
         "t": -4.322377230818117,
         "term": "statea_92.0"
       },
       {
         "ci_high": 0.04964384589703863,
         "ci_low": -0.15631131383316463,
         "coef": -0.053333733968063,
         "p": 0.30943322846769006,
         "se": 0.052423436988697975,
         "t": -1.017364313209019,
         "term": "statea_93.0"
       },
       {
         "ci_high": -0.020469965122423717,
         "ci_low": -0.2810160930475105,
         "coef": -0.15074302908496712,
         "p": 0.023415904389490066,
         "se": 0.06631891882593598,
         "t": -2.2730019088612554,
         "term": "statea_94.0"
       },
       {
         "ci_high": 0.11534532493240732,
         "ci_low": -0.15955916429169162,
         "coef": -0.022106919679642144,
         "p": 0.7521755364181117,
         "se": 0.06997366896575166,
         "t": -0.3159319785055474,
         "term": "statea_95.0"
       },
       {
         "ci_high": -0.3478669472739533,
         "ci_low": -1.0908041416171812,
         "coef": -0.7193355444455672,
         "p": 0.00015862608850926614,
         "se": 0.18910582888640617,
         "t": -3.803878223540451,
         "term": "statea_100.0"
       },
       {
         "ci_high": -0.2780799900368299,
         "ci_low": -1.0161258737073093,
         "coef": -0.6471029318720697,
         "p": 0.0006161232783641463,
         "se": 0.1878608039150441,
         "t": -3.4445872602818612,
         "term": "statea_101.0"
       },
       {
         "ci_high": -0.33586365468255797,
         "ci_low": -0.796122091662165,
         "coef": -0.5659928731723615,
         "p": 0.0000017680062768207844,
         "se": 0.11715331240608212,
         "t": -4.831215281480828,
         "term": "statea_130.0"
       },
       {
         "ci_high": -0.4820111011192338,
         "ci_low": -1.1344971398295136,
         "coef": -0.8082541204743737,
         "p": 0.0000014903557493498827,
         "se": 0.16608256273424776,
         "t": -4.866580254831919,
         "term": "statea_135.0"
       },
       {
         "ci_high": -0.7888319228774087,
         "ci_low": -1.9653664155986346,
         "coef": -1.3770991692380217,
         "p": 0.000005301886331951574,
         "se": 0.29947286547711516,
         "t": -4.598410500544182,
         "term": "statea_140.0"
       },
       {
         "ci_high": -0.17070011775902427,
         "ci_low": -0.5001904891810307,
         "coef": -0.3354453034700275,
         "p": 0.00007221510907000465,
         "se": 0.08386785622293473,
         "t": -3.999688540724804,
         "term": "statea_145.0"
       },
       {
         "ci_high": -0.1456263214997612,
         "ci_low": -0.467238014705351,
         "coef": -0.3064321681025561,
         "p": 0.0002010189836678106,
         "se": 0.08186243236478229,
         "t": -3.7432575511204216,
         "term": "statea_150.0"
       },
       {
         "ci_high": -0.5748275768300792,
         "ci_low": -1.2305165942258915,
         "coef": -0.9026720855279854,
         "p": 9.538963646413633e-8,
         "se": 0.16689784287346407,
         "t": -5.408530571676464,
         "term": "statea_155.0"
       },
       {
         "ci_high": -0.6138339052484838,
         "ci_low": -1.411771144722084,
         "coef": -1.012802524985284,
         "p": 8.281711551173102e-7,
         "se": 0.20310543639342207,
         "t": -4.986585012049856,
         "term": "statea_160.0"
       },
       {
         "ci_high": -0.10935785629960132,
         "ci_low": -0.44427337488426605,
         "coef": -0.2768156155919337,
         "p": 0.0012376148641865593,
         "se": 0.08524876292519262,
         "t": -3.2471511150823917,
         "term": "statea_165.0"
       },
       {
         "ci_high": 0.13877547685814484,
         "ci_low": -0.21988440733006304,
         "coef": -0.040554465235959083,
         "p": 0.6570568536257666,
         "se": 0.09129260885595038,
         "t": -0.44422506645581283,
         "term": "statea_433.0"
       },
       {
         "ci_high": 0.33804323940196396,
         "ci_low": -0.03893828134995847,
         "coef": 0.14955247902600274,
         "p": 0.11968553668694881,
         "se": 0.09595616358886372,
         "t": 1.5585500027572923,
         "term": "statea_434.0"
       },
       {
         "ci_high": -0.010614699943713501,
         "ci_low": -0.411723563556858,
         "coef": -0.21116913175028576,
         "p": 0.03908387026313982,
         "se": 0.10209749182675248,
         "t": -2.068308711330687,
         "term": "statea_437.0"
       },
       {
         "ci_high": 0.03155225041335749,
         "ci_low": -0.3778644617410116,
         "coef": -0.17315610566382708,
         "p": 0.09717560254899446,
         "se": 0.10421215588801254,
         "t": -1.661573011212842,
         "term": "statea_452.0"
       },
       {
         "ci_high": 0.4311260033030157,
         "ci_low": 0.02033353651077069,
         "coef": 0.2257297699068932,
         "p": 0.03130264139761897,
         "se": 0.10456233787260119,
         "t": 2.1588056895009604,
         "term": "statea_461.0"
       },
       {
         "ci_high": 0.04404789152100269,
         "ci_low": -0.35253804434287644,
         "coef": -0.15424507641093688,
         "p": 0.12709671188466462,
         "se": 0.10094623434828653,
         "t": -1.5279923754140021,
         "term": "statea_471.0"
       },
       {
         "ci_high": -0.31699465308804614,
         "ci_low": -1.1643702309864912,
         "coef": -0.7406824420372686,
         "p": 0.0006401045360862995,
         "se": 0.21568937759031118,
         "t": -3.4340237350220826,
         "term": "statea_475.0"
       },
       {
         "ci_high": 0.3473080874387626,
         "ci_low": -0.025051653650126654,
         "coef": 0.16112821689431797,
         "p": 0.08969831455078289,
         "se": 0.09477974453115204,
         "t": 1.7000279721302545,
         "term": "statea_481.0"
       },
       {
         "ci_high": 0.24192641955887045,
         "ci_low": -0.04992858869071454,
         "coef": 0.09599891543407796,
         "p": 0.19682042753303042,
         "se": 0.07428822203265394,
         "t": 1.2922494684538408,
         "term": "statea_484.0"
       },
       {
         "ci_high": -0.03147069862521379,
         "ci_low": -0.7233586157973061,
         "coef": -0.37741465721125994,
         "p": 0.03255367215899626,
         "se": 0.17611184238660038,
         "t": -2.1430396280947424,
         "term": "statea_490.0"
       },
       {
         "ci_high": -0.044310268030357286,
         "ci_low": -0.5298813423993968,
         "coef": -0.28709580521487704,
         "p": 0.02055580564844053,
         "se": 0.12359634327232011,
         "t": -2.3228503175237005,
         "term": "statea_501.0"
       },
       {
         "ci_high": -0.02391441566703656,
         "ci_low": -0.5843033815218841,
         "coef": -0.30410889859446033,
         "p": 0.03345520194400713,
         "se": 0.14264034792397104,
         "t": -2.131997734305541,
         "term": "statea_510.0"
       },
       {
         "ci_high": 0.23039737549248424,
         "ci_low": -0.1462516278280671,
         "coef": 0.04207287383220856,
         "p": 0.6609473961585614,
         "se": 0.09587152523052417,
         "t": 0.4388464012754972,
         "term": "statea_551.0"
       },
       {
         "ci_high": -0.41244879688972896,
         "ci_low": -1.281552219183145,
         "coef": -0.847000508036437,
         "p": 0.00014379144917525913,
         "se": 0.22121994202497808,
         "t": -3.828771042444273,
         "term": "statea_560.0"
       },
       {
         "ci_high": 0.4414623779903989,
         "ci_low": 0.09195663218185121,
         "coef": 0.26670950508612506,
         "p": 0.002842004063502231,
         "se": 0.08896253177917024,
         "t": 2.9979981431752893,
         "term": "statea_571.0"
       },
       {
         "ci_high": -0.1674982089409781,
         "ci_low": -0.8892889346930396,
         "coef": -0.5283935718170089,
         "p": 0.00418526655912755,
         "se": 0.18372324674971827,
         "t": -2.876030013430073,
         "term": "statea_600.0"
       },
       {
         "ci_high": -0.23621098122222406,
         "ci_low": -1.004634503221585,
         "coef": -0.6204227422219045,
         "p": 0.0015994436069991758,
         "se": 0.19559307054475955,
         "t": -3.1720077837825387,
         "term": "statea_615.0"
       },
       {
         "ci_high": 0.08152732453748497,
         "ci_low": -0.3258810372385371,
         "coef": -0.12217685635052607,
         "p": 0.23924681260654776,
         "se": 0.10370095417959978,
         "t": -1.1781652089616057,
         "term": "statea_616.0"
       },
       {
         "ci_high": 0.11077088896915666,
         "ci_low": -0.4155183293411632,
         "coef": -0.15237372018600326,
         "p": 0.2558513631432741,
         "se": 0.13396066265134757,
         "t": -1.137451227623279,
         "term": "statea_620.0"
       },
       {
         "ci_high": 0.007683824031206654,
         "ci_low": -0.6430879236979812,
         "coef": -0.3177020498333873,
         "p": 0.05564083804650365,
         "se": 0.1656462103488776,
         "t": -1.9179554374606915,
         "term": "statea_625.0"
       },
       {
         "ci_high": -0.31164643140716775,
         "ci_low": -1.2232631433995587,
         "coef": -0.7674547874033631,
         "p": 0.0010039505532958822,
         "se": 0.23204119441135188,
         "t": -3.307407503009379,
         "term": "statea_651.0"
       },
       {
         "ci_high": 0.0721699427921052,
         "ci_low": 0.019063902926442382,
         "coef": 0.045616922859273795,
         "p": 0.0007918857001820052,
         "se": 0.013517510987653032,
         "t": 3.3746540247639185,
         "term": "log_tot_trade"
       }
     ],
     "first_stage": [
       {
         "ci_high": 3.018707170578274,
         "ci_low": 1.741825443176358,
         "coef": 2.380266306877316,
         "endog": "log_tot_trade",
         "instrument": "lag_log_energ_prod",
         "p": 8.771697812785815e-13,
         "se": 0.3250150608810296,
         "t": 7.323556946638244
       }
     ],
     "reduced_form": [
       {
         "ci_high": 0.16763993816531325,
         "ci_low": 0.0495209108453915,
         "coef": 0.10858042450535238,
         "instrument": "lag_log_energ_prod",
         "p": 0.0003327521751957382,
         "se": 0.030065793903798602,
         "t": 3.611427153820608
       }
     ]
   }

   Digests dos dados

   ref_iv 72828640aa7626c8941ad7adb251f7f93eb648eb1a63b64f6d87c9c0611b44b5

   sha256 do resultado

   dbf3279843177349171a47676f21acc2899780d1e0dc8619cc5ab027f86e41a5

   Resultado mostrado ao modelo
7. 6Turno do modelo
   call_04cc65a7referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Chamadas pedidas

   • submit_answer (meta-ferramenta)

     {
       "answer": "Estimativa (infer.iv_2sls): coef.log_tot_trade = 0,04562. Reference path transcribed from the item's own estimation script.",
       "caveats": [],
       "figure_refs": [
         "call_9f461d54:coef.log_tot_trade"
       ]
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
8. 7Guarda
   resposta aceita

   Números encontrados

   0,04562

   Sem lastro

   —

   Não citados

   —

   1 nova(s) tentativa(s) restante(s)
9. 8Resposta

   Estimativa (infer.iv_2sls): coef.log_tot_trade = 0,04562. Reference path transcribed from the item's own estimation script.

   Figuras citadas: call_9f461d54:coef.log_tot_trade · Parada: answered

   Figura da resposta: call_9f461d54:coef.log_tot_trade = 0,04561690.045616922859273795 (se 0,01351750.013517510987653032)
10. 9Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
11. 10Pontuação
    #1figura da resposta próximapassouobrigatória0.04561692286 in [0.01912260132, 0.0721112444]?
12. 11Pontuação
    #2figura da resposta próximapassouregistrada0.04561692286 vs 0.045616922859221365
13. 12Pontuação
    #3figura da resposta próximapassouregistrada0.01351751099 vs 0.013517510987644091

Épocas × verificações

Tentativas

Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.

• época 1, tentativa 1passoupontuada(exibindo)

Downloads desta tarefa