Tarefa paper_repro.cheng_hoekstra_2013.tab5_pa_c2.tool

paper_reprotoolT1publicépoca 1, tentativa 1Execução: 20261015T183517Z-suite-paper_repro-gemini-0cda63

Veredito

passouPassou em todas as verificações obrigatórias.

Pergunta feita ao analista

Tarefa de ferramenta: nenhuma pergunta; a especificação de referência é chamada direto.

Valores esperados e de onde vêm

cheng_hoekstra_2013.tab5_pa_c2.software

Fonte: statsmodels 0.15.0: the reference specification of cheng_hoekstra_2013 tab5_pa_c2 (infer.ols, figure 'coef.cdl') on an independent code path
Tipo: software
Localização: cheng_hoekstra_2013: NBER Working Paper 18134, Table 5, Panel A 'Log Homicide Rate (OLS - Weighted)', column (2) adding region-by-year fixed effects, row 'Castle Doctrine Law'
Valor: 0,09458770.09458774356441493 (se 0,02931480.02931477649721159)
Conferido por: execução de software · sm.WLS(l_homicide, add_constant(['cdl', 'r20001', 'r20002', 'r20003', 'r20004', 'r20011', 'r20012', 'r20013', 'r20014', 'r20021', 'r20022', 'r20023', 'r20024', 'r20031', 'r20032', 'r20033', 'r20034', 'r20041', 'r20042', 'r20043', 'r20044', 'r20051', 'r20052', 'r20053', 'r20054', 'r20061', 'r20062', 'r20063', 'r20064', 'r20071', 'r20072', 'r20073', 'r20074', 'r20081', 'r20082', 'r20083', 'r20084', 'r20091', 'r20092', 'r20093', 'r20094', 'r20101', 'r20102', 'r20103', 'r20104']), fe dummies ['sid', 'year'], weights=popwt; 91 independent columns).fit(cov_type='cluster', groups=sid) on castle (the file pinned at sha256 804633c161827b6c0824f86f239046386d1a8266a866f83bf5ddb2aa762a5f29); n_obs = 550. The tool infer.ols (magi_infer, numpy) does not call statsmodels. Written by scripts/paper_repro_reference.py.
Implementação: independente da ferramenta
Endereço: https://pypi.org/project/statsmodels/0.15.0/

#0 figura próxima: 0,09458770.09458774356441493 · relativa 0.000001 · absoluta 2.931477649721159e-8
#1 figura próxima: 0,02931480.02931477649721159 · relativa 0.000001 · absoluta 2.931477649721159e-8

cheng_hoekstra_2013.tab5_pa_c2.paper

Fonte: Cheng, C. and Hoekstra, M. (2013). Does Strengthening Self-Defense Law Deter Crime or Escalate Violence? Evidence from Expansions to Castle Doctrine. Journal of Human Resources 48(3): 821-854. Cells read from the NBER Working Paper 18134 (June 2012).
Tipo: paper
Localização: NBER Working Paper 18134, Table 5 (the effect of castle doctrine on homicide), Panel A 'Log Homicide Rate (OLS - Weighted)', column (2), row 'Castle Doctrine Law'
Página: 38
Trecho: Panel A: Castle Doctrine Law 0.0946 (0.0279)
Valor como publicado: 0.0946
Erro-padrão como publicado: 0.0279
Valor: 0,09460.0946 (se 0,02790.0279) log points of the homicide rate per unit of the castle doctrine law variable
Conferido por: fonte primária · Read on 2026-10-15 from the NBER Working Paper 18134 PDF (43 pages, created 2012-06-28) with pdftotext -layout and from the page image rendered at 80 dpi: Table 5 'The Effect of Castle Doctrine on Homicide' is on PDF page 40 (printed page 38). The published JHR version (48(3), 2013) could not be read without a subscription, so the cells are the authors' circulated working-paper version. The notes say 'Robust standard errors are clustered at the state level'; the unit is the state-year; 550 observations in every column. Panel A is weighted (by state population, 'OLS - Weighted'), Panel B unweighted. Column (1) has state and year fixed effects; column (2) adds region-by-year fixed effects.
sha256 da cópia lida: 1283a9c1e37ea2114e36b6c48ffc7c3fc0f26b2334f08c1a60ffbe82f3005682 (identifica a cópia lida, não um arquivo canônico)
Desvio conhecido: convenção de erro-padrão
Recorded before the software-reference run and before any dry run of this track, from the phase-B research probe (research-papers.md sections 2.4 and 3.9, 2026-10-14): infer.ols with state and year fixed effects as dummies, population weights and errors clustered by state gives the printed coefficients but SEs of 0.0359 and 0.0293 against the printed 0.0342 and 0.0279, a ratio of about sqrt((N-k)/(N-K)) (k: the regressors left after absorbing the state effects, as Stata xtreg, fe counts them; K: the full dummy count): the authors' clustered errors do not count the state effects, which are nested in the clusters, in K (Stata xtreg, fe), while the dummy-variable convention does.
Endereço: https://www.nber.org/system/files/working_papers/w18134/w18134.pdf
Licença: NBER working paper, copyright the authors; cited, not reproduced.

#2 figura próxima: 0,09460.0946 · published_cell d=4 · absoluta 0.000050001000000000005
#3 figura próxima: 0,02790.0279 · published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005

Verificações

Cada verificação, o que esperava, o que observou e a chamada que leu
#	Verificação	Obrigatória	Resultado	Esperado	Observado	Tolerância	Fonte	Chamada
0	figura próxima 0.09458774356 vs 0.09458774356441493	obrigatória	passou	0,0945877`0.09458774356441493`	0,0945877`0.09458774356441414`	relativa 0.000001 · absoluta 2.931477649721159e-8	cheng_hoekstra_2013.tab5_pa_c2.software	—
1	figura próxima 0.0293147765 vs 0.02931477649721159	obrigatória	passou	0,0293148`0.02931477649721159`	0,0293148`0.02931477649721158`	relativa 0.000001 · absoluta 2.931477649721159e-8	cheng_hoekstra_2013.tab5_pa_c2.software	—
2	figura próxima 0.09458774356 vs 0.0946	obrigatória	passou	0,0946`0.0946`	0,0945877`0.09458774356441414`	published_cell d=4 · absoluta 0.000050001000000000005	cheng_hoekstra_2013.tab5_pa_c2.paper	—
3	figura próxima 0.0293147765 vs 0.0279	registrada	falhou	0,0279`0.0279`	0,0293148`0.02931477649721158`	published_cell d=4 (the SE as printed) · absoluta 0.000050001000000000005	cheng_hoekstra_2013.tab5_pa_c2.paper	—

Caminho de referência e caminho do agente

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

a própria especificação da tarefa

Referência: infer.olsChamada do agente: infer.ols (call_8db1db04)igual

Argumentos da referência e do agente
Argumento	Referência	Agente
cluster	`"sid"`	`"sid"`	igual
controls	`["r20001","r20002","r20003","r20004","r20011","r20012","r20013","r20014","r20021","r20022","r20023","r20024","r20031","r20032","r20033","r20034","r20041","r20042","r20043","r20044","r20051","r20052","r20053","r20054","r20061","r20062","r20063","r20064","r20071","r20072","r20073","r20074","r20081","r20082","r20083","r20084","r20091","r20092","r20093","r20094","r20101","r20102","r20103","r20104"]`	`["r20001","r20002","r20003","r20004","r20011","r20012","r20013","r20014","r20021","r20022","r20023","r20024","r20031","r20032","r20033","r20034","r20041","r20042","r20043","r20044","r20051","r20052","r20053","r20054","r20061","r20062","r20063","r20064","r20071","r20072","r20073","r20074","r20081","r20082","r20083","r20084","r20091","r20092","r20093","r20094","r20101","r20102","r20103","r20104"]`	igual
dataset	`"castle"`	`"castle"`	igual
fe	`["sid","year"]`	`["sid","year"]`	igual
intercept	—	`true`	não fixado pela referência
level	—	0,95`0.95`	não fixado pela referência
se	—	`"HC1"`	não fixado pela referência
subset	—	—	não fixado pela referência
weights	`"popwt"`	`"popwt"`	igual
x	`["cdl"]`	`["cdl"]`	igual
y	`"l_homicide"`	`"l_homicide"`	igual

Trajetória

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

0Início
Tarefa de ferramenta: nenhuma pergunta; a especificação de referência é chamada direto.
castle (agent)
The state-year panel of Cheng and Hoekstra (2013), 'Does Strengthening Self-Defense Law Deter Crime or Escalate Violence? Evidence from Expansions to Castle Doctrine', as distributed with Cunningham's Causal Inference: The Mixtape: one row per U.S. state and year, 2000-2010 (550 rows: 50 states, 11 years). Columns used most: state, the state's name; sid, a numeric state id; year; cdl, the castle doctrine law variable as the paper codes it: the fraction of the year in which the state's castle doctrine (stand-your-ground) law was in effect, 0 before adoption and 1 in full years after it; post, 1 in every year from the adoption year on (any part of the year); effyear and treatment_date, the year the law took effect (missing for states that never adopted one); homicide, the homicide rate per 100,000 residents (FBI Uniform Crime Reports), and l_homicide its natural log; murder and l_murder, the murder rate and its log; population; popwt, the state's average population over 2000-2010 (constant within a state), the weight the paper's weighted regressions use; northeast, midwest, south, west, census region indicators; r20001 to r20104, region-by-year indicators named r20<two-digit year><region 1-4> (for example r20063 is region 3 in 2006); trend_1 to trend_51, state-specific linear trends; lead1 to lead9 and lag0 to lag5, event-time indicators relative to adoption; other crime rates (robbery, assault, burglary, larceny, motor) and their logs (l_robbery and so on); and the time-varying controls of the paper (police, unemployrt, income, poverty, prisoner, lagprisoner, exp_subsidy, exp_pubwelfare, and the shares of black and white men aged 15-24 and 25-44).
file 804633c161827b6c0824f86f239046386d1a8266a866f83bf5ddb2aa762a5f29 · frame —

1Ferramenta

infer.olsv0.1.0call_8db1db04decidido pelo códigoreexecutável

Argumentos

{
  "cluster": "sid",
  "controls": [
    "r20001",
    "r20002",
    "r20003",
    "r20004",
    "r20011",
    "r20012",
    "r20013",
    "r20014",
    "r20021",
    "r20022",
    "r20023",
    "r20024",
    "r20031",
    "r20032",
    "r20033",
    "r20034",
    "r20041",
    "r20042",
    "r20043",
    "r20044",
    "r20051",
    "r20052",
    "r20053",
    "r20054",
    "r20061",
    "r20062",
    "r20063",
    "r20064",
    "r20071",
    "r20072",
    "r20073",
    "r20074",
    "r20081",
    "r20082",
    "r20083",
    "r20084",
    "r20091",
    "r20092",
    "r20093",
    "r20094",
    "r20101",
    "r20102",
    "r20103",
    "r20104"
  ],
  "dataset": "castle",
  "fe": [
    "sid",
    "year"
  ],
  "intercept": true,
  "level": 0.95,
  "se": "HC1",
  "subset": null,
  "weights": "popwt",
  "x": [
    "cdl"
  ],
  "y": "l_homicide"
}

Figuras call_8db1db04
Chave	Valor	Valor bruto	Erro-padrão	IC
coef.cdl Coefficient on cdl in the regression of l_homicide	0,0945877	`0.09458774356441414`	0,0293148`0.02931477649721158`	0,0356775 – 0,153498

Diagnósticos

n_obs = 550550
k = 9191
r2 = 0,9410940.9410942083740509
df_resid = 459459
se_type = "cluster"
n_clusters = 5050
fixed_effects = "sid (50 levels), year (11 levels)"

Tabelas (1)

{
  "coefficients": [
    {
      "ci_high": 0.7170241139453665,
      "ci_low": 0.6074444008129366,
      "coef": 0.6622342573791515,
      "p": 5.581410919587254e-29,
      "se": 0.027264396751068884,
      "t": 24.289342009857197,
      "term": "Intercept"
    },
    {
      "ci_high": 0.15349799249518875,
      "ci_low": 0.03567749463363953,
      "coef": 0.09458774356441414,
      "p": 0.0022346189185407472,
      "se": 0.02931477649721158,
      "t": 3.2266233915653872,
      "term": "cdl"
    },
    {
      "ci_high": 0.04130516522939305,
      "ci_low": -0.26757756290304957,
      "coef": -0.11313619883682825,
      "p": 0.14738362206316283,
      "se": 0.07685274042630379,
      "t": -1.4721166507434784,
      "term": "r20001"
    },
    {
      "ci_high": 0.6585901024992312,
      "ci_low": 0.40008838908433997,
      "coef": 0.5293392457917856,
      "p": 8.516884244881672e-11,
      "se": 0.06431750069337329,
      "t": 8.230096631325168,
      "term": "r20002"
    },
    {
      "ci_high": 1.4178788692125117,
      "ci_low": 1.285010802050321,
      "coef": 1.3514448356314164,
      "p": 1.5808072890898486e-39,
      "se": 0.03305874413341154,
      "t": 40.880102104833114,
      "term": "r20003"
    },
    {
      "ci_high": 0.29354723322355625,
      "ci_low": 0.14213027114338347,
      "coef": 0.21783875218346987,
      "p": 5.058824380849046e-7,
      "se": 0.03767387238919159,
      "t": 5.7822235509288,
      "term": "r20004"
    },
    {
      "ci_high": 0.04686220379602258,
      "ci_low": -0.1635631077987646,
      "coef": -0.058350452001371005,
      "p": 0.27050102317084834,
      "se": 0.05235566892618272,
      "t": -1.1145011265855556,
      "term": "r20011"
    },
    {
      "ci_high": 0.6578638052220248,
      "ci_low": 0.4288788170163639,
      "coef": 0.5433713111191943,
      "p": 9.472717550586183e-13,
      "se": 0.05697347976201562,
      "t": 9.53726739860221,
      "term": "r20012"
    },
    {
      "ci_high": 1.4013544150580517,
      "ci_low": 1.2532726320946248,
      "coef": 1.3273135235763383,
      "p": 6.369771707349383e-37,
      "se": 0.03684405048077914,
      "t": 36.02517926927641,
      "term": "r20013"
    },
    {
      "ci_high": 0.3437947255921708,
      "ci_low": 0.23618751506970673,
      "coef": 0.28999112033093877,
      "p": 1.3300905535553161e-14,
      "se": 0.02677362074688614,
      "t": 10.831225371886456,
      "term": "r20014"
    },
    {
      "ci_high": -0.0021025596219160503,
      "ci_low": -0.18409791605003123,
      "coef": -0.09310023783597364,
      "p": 0.04512912427935368,
      "se": 0.045282045943227045,
      "t": -2.056007759735487,
      "term": "r20021"
    },
    {
      "ci_high": 0.6014855754504991,
      "ci_low": 0.41103775800114156,
      "coef": 0.5062616667258203,
      "p": 2.138841141014404e-14,
      "se": 0.04738509261325791,
      "t": 10.68398601344451,
      "term": "r20022"
    },
    {
      "ci_high": 1.3895378204249418,
      "ci_low": 1.267820378846938,
      "coef": 1.3286790996359399,
      "p": 5.424094587897909e-41,
      "se": 0.030284370380648715,
      "t": 43.87342655421184,
      "term": "r20023"
    },
    {
      "ci_high": 0.40020179933925604,
      "ci_low": 0.20874441641997352,
      "coef": 0.3044731078796148,
      "p": 5.8124973111515276e-8,
      "se": 0.047636281384713736,
      "t": 6.391622079411908,
      "term": "r20024"
    },
    {
      "ci_high": 0.04126612643315937,
      "ci_low": -0.14677054249508154,
      "coef": -0.052752208030961076,
      "p": 0.26500491204438154,
      "se": 0.04678517764700838,
      "t": -1.1275410436393682,
      "term": "r20031"
    },
    {
      "ci_high": 0.5951965484462588,
      "ci_low": 0.4303169647607855,
      "coef": 0.5127567566035222,
      "p": 7.434714378823912e-17,
      "se": 0.04102349109382204,
      "t": 12.499100952447732,
      "term": "r20032"
    },
    {
      "ci_high": 1.4257673596285092,
      "ci_low": 1.2856108697164559,
      "coef": 1.3556891146724825,
      "p": 1.7266656673845364e-38,
      "se": 0.034872167839874596,
      "t": 38.875963229401506,
      "term": "r20033"
    },
    {
      "ci_high": 0.4013295003390475,
      "ci_low": 0.21818721849119166,
      "coef": 0.3097583594151196,
      "p": 1.3647239944908426e-8,
      "se": 0.04556741107874172,
      "t": 6.797804660875922,
      "term": "r20034"
    },
    {
      "ci_high": 0.008029635925826645,
      "ci_low": -0.12182277234602859,
      "coef": -0.05689656821010097,
      "p": 0.08447029546735561,
      "se": 0.03230842166858971,
      "t": -1.7610444977389872,
      "term": "r20041"
    },
    {
      "ci_high": 0.5256172065080785,
      "ci_low": 0.39279234307623284,
      "coef": 0.4592047747921557,
      "p": 1.2726265778871504e-18,
      "se": 0.033047994665178965,
      "t": 13.895087415878733,
      "term": "r20042"
    },
    {
      "ci_high": 1.3843427372114967,
      "ci_low": 1.2504693232299269,
      "coef": 1.3174060302207118,
      "p": 7.618370125735856e-39,
      "se": 0.0333088832674943,
      "t": 39.55119178391522,
      "term": "r20043"
    },
    {
      "ci_high": 0.3834688800577876,
      "ci_low": 0.24936838537262146,
      "coef": 0.31641863271520454,
      "p": 1.1360805465085385e-12,
      "se": 0.033365382944490846,
      "t": 9.483440763788694,
      "term": "r20044"
    },
    {
      "ci_high": 0.07482578794971759,
      "ci_low": -0.09624539063438378,
      "coef": -0.0107098013423331,
      "p": 0.8023899451288706,
      "se": 0.04256401438059208,
      "t": -0.2516163359632838,
      "term": "r20051"
    },
    {
      "ci_high": 0.6187043002085622,
      "ci_low": 0.42084039187590494,
      "coef": 0.5197723460422335,
      "p": 3.218593914139947e-14,
      "se": 0.049230281274592606,
      "t": 10.557980425565521,
      "term": "r20052"
    },
    {
      "ci_high": 1.4142678518886522,
      "ci_low": 1.2398681615532832,
      "coef": 1.3270680067209677,
      "p": 1.3904584670790904e-33,
      "se": 0.04339217738981157,
      "t": 30.58311627921584,
      "term": "r20053"
    },
    {
      "ci_high": 0.40710622094671906,
      "ci_low": 0.23893617718114352,
      "coef": 0.3230211990639313,
      "p": 5.132378643569313e-10,
      "se": 0.04184218651246254,
      "t": 7.71998850891123,
      "term": "r20054"
    },
    {
      "ci_high": 0.07138243773963984,
      "ci_low": -0.07596415729759165,
      "coef": -0.0022908597789759043,
      "p": 0.9504288742699749,
      "se": 0.03666112925628059,
      "t": -0.0624874308415758,
      "term": "r20061"
    },
    {
      "ci_high": 0.5825772080618905,
      "ci_low": 0.4183179392501746,
      "coef": 0.5004475736560325,
      "p": 1.6004521590823364e-16,
      "se": 0.04086915129546657,
      "t": 12.24511784054456,
      "term": "r20062"
    },
    {
      "ci_high": 1.371391297870515,
      "ci_low": 1.24478638005183,
      "coef": 1.3080888389611725,
      "p": 7.48888368285691e-40,
      "se": 0.031500417471192865,
      "t": 41.52607946092841,
      "term": "r20063"
    },
    {
      "ci_high": 0.3645091120720312,
      "ci_low": 0.22673808325944458,
      "coef": 0.29562359766573787,
      "p": 2.156548318625243e-11,
      "se": 0.0342786441301392,
      "t": 8.624133339212602,
      "term": "r20064"
    },
    {
      "ci_high": 0.01264865774665501,
      "ci_low": -0.20537669469368847,
      "coef": -0.09636401847351674,
      "p": 0.0818748952072628,
      "se": 0.054246625956588135,
      "t": -1.7764057537999474,
      "term": "r20071"
    },
    {
      "ci_high": 0.5277614379115028,
      "ci_low": 0.3685145022912892,
      "coef": 0.44813797010139594,
      "p": 2.890054463763017e-15,
      "se": 0.03962203869701946,
      "t": 11.31032084260487,
      "term": "r20072"
    },
    {
      "ci_high": 1.3980864701844686,
      "ci_low": 1.2636480333017224,
      "coef": 1.3308672517430955,
      "p": 5.739852846801054e-39,
      "se": 0.03344946593659193,
      "t": 39.78739912517401,
      "term": "r20073"
    },
    {
      "ci_high": 0.30536608863963155,
      "ci_low": 0.17433601781091856,
      "coef": 0.23985105322527506,
      "p": 1.8596616352960696e-9,
      "se": 0.032601434474256064,
      "t": 7.3570705428521865,
      "term": "r20074"
    },
    {
      "ci_high": 0.01776844061531617,
      "ci_low": -0.1658443833095704,
      "coef": -0.07403797134712711,
      "p": 0.11151400244698377,
      "se": 0.04568448608751395,
      "t": -1.6206370627722233,
      "term": "r20081"
    },
    {
      "ci_high": 0.5442763688530045,
      "ci_low": 0.3195695693085765,
      "coef": 0.4319229690807905,
      "p": 5.033988147764319e-10,
      "se": 0.055909028781980515,
      "t": 7.725460064153347,
      "term": "r20082"
    },
    {
      "ci_high": 1.3290943918909497,
      "ci_low": 1.1678289725413047,
      "coef": 1.2484616822161272,
      "p": 6.2220470619809355e-34,
      "se": 0.04012425520828455,
      "t": 31.114887385083584,
      "term": "r20083"
    },
    {
      "ci_high": 0.21997218014190584,
      "ci_low": 0.09477194987062874,
      "coef": 0.1573720650062673,
      "p": 0.0000064724756261509495,
      "se": 0.031150918850426017,
      "t": 5.051923693227273,
      "term": "r20084"
    },
    {
      "ci_high": -0.08442083045321432,
      "ci_low": -0.25302800649212154,
      "coef": -0.16872441847266792,
      "p": 0.00019907463216664646,
      "se": 0.04195094886812237,
      "t": -4.021945224721199,
      "term": "r20091"
    },
    {
      "ci_high": 0.4363018626977542,
      "ci_low": 0.25004081918753085,
      "coef": 0.3431713409426425,
      "p": 1.5685067685045942e-9,
      "se": 0.04634338642038226,
      "t": 7.4049690247002005,
      "term": "r20092"
    },
    {
      "ci_high": 1.2558353426219833,
      "ci_low": 1.1075220413430562,
      "coef": 1.1816786919825197,
      "p": 1.6228191619106924e-34,
      "se": 0.03690165427466127,
      "t": 32.02237718632376,
      "term": "r20093"
    },
    {
      "ci_high": 0.1698517728331999,
      "ci_low": 0.0332454975798739,
      "coef": 0.10154863520653691,
      "p": 0.004382307065091123,
      "se": 0.03398884319665326,
      "t": 2.9877049542108565,
      "term": "r20094"
    },
    {
      "ci_high": 0.009964905656439246,
      "ci_low": -0.170017202407366,
      "coef": -0.08002614837546339,
      "p": 0.08011575393755486,
      "se": 0.04478113203686693,
      "t": -1.7870505888413075,
      "term": "r20101"
    },
    {
      "ci_high": 0.37528081643095396,
      "ci_low": 0.24039752768478045,
      "coef": 0.3078391720578672,
      "p": 3.2638673172947673e-12,
      "se": 0.0335601489941874,
      "t": 9.172759397200078,
      "term": "r20102"
    },
    {
      "ci_high": 1.1618998024556495,
      "ci_low": 1.0169129701501172,
      "coef": 1.0894063863028833,
      "p": 2.5043724673835903e-33,
      "se": 0.036073999526549654,
      "t": 30.199212746041777,
      "term": "r20103"
    }
  ]
}

dropped as collinear with the other regressors: ['r20104', 'sid[46]', 'sid[50]', 'sid[51]', 'year[2001]', 'year[2002]', 'year[2003]', 'year[2004]', '…']

Digests dos dados: castle 6a9af2b4a14b985d82e0f3aea93c535c24cfc2497c4d9f07242bac5f84ae11c1
sha256 do resultado: b7afce57d42d6eaffc69a7d1182ef8032bbc636617da1ab7fbcc7690df23dbaf

2Pontuação
#0figura próximapassouobrigatória0.09458774356 vs 0.09458774356441493
3Pontuação
#1figura próximapassouobrigatória0.0293147765 vs 0.02931477649721159
4Pontuação
#2figura próximapassouobrigatória0.09458774356 vs 0.0946
5Pontuação
#3figura próximafalhouregistrada0.0293147765 vs 0.0279

Épocas × verificações

Resultado de cada verificação em cada época pontuada
#	0	1	2	3
Época 1	passou	passou	passou	falhou

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

Pacote da tarefa (.zip)

166,7 KB · sha256 0a2456460290018b39529f9bd2749c48cc47d4b08c6ba1858edfef5f08a57e25

O hash de um zip é só de transporte: o que ancora a integridade é o RUN_SHA256SUMS que vai dentro dele, cópia exata do SHA256SUMS da execução.

Downloads desta tarefa
Arquivo	Tamanho	sha256
sources/cheng_hoekstra_2013.tab5_pa_c2.paper.json	2,7 KB	`f3562ecf0f9a56ecf98c9668fd5c53881bb608668443e02deebd02d099b262a8`
sources/cheng_hoekstra_2013.tab5_pa_c2.software.json	1,7 KB	`c210ce8e5c7b0c1ae68c1656a7251104c0a058e7aa033238227b2e91ac0a2847`
specs/paper_repro.cheng_hoekstra_2013.tab5_pa_c2.tool.json	7,0 KB	`dc1bf5995422a8277702d324ba28f727a05bd5b0dadeaab6aff5afa6b4fc2cc2`
traces/paper_repro.cheng_hoekstra_2013.tab5_pa_c2.tool.e1.a1.jsonl	11,5 KB	`1561fb08a138df63404686b8190f4394a623a0fafbfdfab54817d838450b7d30`
trajectories/paper_repro.cheng_hoekstra_2013.tab5_pa_c2.tool.e1.a1.jsonl	16,3 KB	`ed3bf469a3f72c2f93bfed1954528089a3d44e45db6da22305f9b1b7d8c648d7`