Tarefa causcibench_real.q119
causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171059Z-suite-causcibench_real-scripted-ded01dVeredito
1.82646733 vs 1.038Família do método (das chamadas de ferramentas): did (OLS with unit and time fixed effects; the regressor varies within unit)
Pergunta feita ao analista
Does an increase in social capital increase the ratio of Black/White prisoners, while accounting for other relevant factors?
Estimativa (infer.ols): coef.SC8609_ma = 1,826.
Valores esperados e de onde vêm
causcibench_real.gold.q119
- Fonte
- CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 119
- Tipo
- benchmark_gold
- Localização
- real_input.json, record id 119: fields effect and std_error
- Trecho
id 119 effect 1.038 std_error 0.415
- Valor como publicado
1.038- Erro-padrão como publicado
0.415- Valor
- 1,038
1.038(se 0,4150.415) - Conferido por
- arquivo do benchmark · Written by scripts/freeze_causcibench_real.py from the pinned file; equal to the `answer` and `std_error` of the same id in data/metadata_csv/real_input.csv at the pin.
- sha256 da cópia lida
c1f4c8930675afff63d816d8ed066941ae92697e7bfc31e9d38519398dd80438(identifica a cópia lida, não um arquivo canônico)- Endereço
https://raw.githubusercontent.com/causalNLP/CauSciBench/d9bb43a2d90f261978cc5ac0b628c0484f6e8956/data/metadata_json/real_input.json- Licença
- CauSciBench repository (MIT for code; metadata as published in the repository)
- #1 figura da resposta próxima: 1,038
1.038· relativa 0.05
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number backed | obrigatória | passou | — | [] | — | — | — |
| 1 | figura da resposta próxima 1.82646733 vs 1.038 | obrigatória | falhou | 1,0381.038 | 1,826471.8264673303208343 | relativa 0.05 | causcibench_real.gold.q119 | call_79a78337 |
Caminho de referência e caminho do agente
A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.
caminho de referência do item · metadata_rule
| Argumento | Referência | Agente | |
|---|---|---|---|
| cluster | — | — | não fixado pela referência |
| controls | ["VCRate_Total","PCRate_Total","divorcerate","women_leg","pop_pctblk","felonspc","bwpovratio","bwcolratio","unemp","racialdiversity","govideo","threestrikes","blk_leg","totdempct","eduattain_ma","SC_RD"] | ["VCRate_Total","PCRate_Total","divorcerate","women_leg","pop_pctblk","felonspc","bwpovratio","bwcolratio","unemp","racialdiversity","govideo","threestrikes","blk_leg","totdempct","eduattain_ma","SC_RD"] | igual |
| dataset | "hawes_social_capital" | "hawes_social_capital" | igual |
| fe | ["statename","year"] | ["statename","year"] | igual |
| intercept | — | true | não fixado pela referência |
| level | — | 0,950.95 | não fixado pela referência |
| se | — | "HC1" | não fixado pela referência |
| subset | — | — | não fixado pela referência |
| weights | — | — | não fixado pela referência |
| x | ["SC8609_ma"] | ["SC8609_ma"] | igual |
| y | "prison_BWratio" | "prison_BWratio" | igual |
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
Does an increase in social capital increase the ratio of Black/White prisoners, while accounting for other relevant factors?
hawes_social_capital(agent)"This study examines the differential effects of social capital on policy equity in state outcomes between 1986 and 2009. Specifically, it explores the relationship between social capital and incarceration rates in the American states paying particular attention to racial disparities in incarceration rates. State-level incarceration rates from 1986 to 2009 were obtained from the Bureau of Justice Statistics’ National Prisoners Statistics study. social capital is measured using an index created by Hawes, Rocha, and Meier (2013) using factor analysis of 22 items that capture the behavioral components of social capital. This index primarily relies on state-level data from a market research firm (MediaMark, Inc.) that conducts large annual surveys that include items related to organizational membership, volunteerism, and civic engagement. Data Variables: statename: State Name year: Year fips: FIPS State Code fipsyear: FIPS Code + Year VCRate_Total: Total Violent Crimes per 100,000 population PCRate_Total: Total Property Crimes per 100,000 population divorcerate: Divorce per 1,000 population women_leg: Percent Females in State Legislature SC8609_ma: Social Capital Index pop_pctblk: Percent Black Population felonspc: Voting-Ineligible Felons per 100,000 bwpovratio: Poverty Inequality (Black/White Ratio) bwcolratio: Education Inequality (Black/White Ratio) pov_rtfull: Poverty Rate unemp: Unemployment Rate govideo: Government Ideology totdempct: Proportion of Democrats in Entire Legislature racialdiversity: Racial Diversity (Blau Index) gsppc_k: GSP per Capita (in 2007 $1000) eduattain_ma: Percent with College Degree SC_RD: Social Capital X Racial Diversity jprison_totalrt: Total Inmates per 100,000 population prison_whtrt: White Inmates per 100,000 population prison_blkrt: Black Inmates per 100,000 population prison_BWratio: Black/White Incarceration Ratio ln_prison_BWratio: Logged Black/White Incarceration Ratio ln_pctblk: Logged Percent Black Population ln_SC_PBLK: Social Capital X ln(% Black) threestrikes: Three Strikes Law (Yes/No) GTClear: Trial Court Clearance Rate darrest2: Drug Arrests / Population blk_leg: Percent African Americans in State Legislature"
file04fb48ac5f0d0709687b5a5013477e80ce7f00179a65d689ae7b633787a4fc33· frame — - 1Turno do modelo
call_be5c85c9referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelcauscibench_metadata_rule/1: did
Chamadas pedidasinfer.ols{ "controls": [ "VCRate_Total", "PCRate_Total", "divorcerate", "women_leg", "pop_pctblk", "felonspc", "bwpovratio", "bwcolratio", "unemp", "racialdiversity", "govideo", "threestrikes", "blk_leg", "totdempct", "eduattain_ma", "SC_RD" ], "dataset": "hawes_social_capital", "fe": [ "statename", "year" ], "x": [ "SC8609_ma" ], "y": "prison_BWratio" }
- 2Ferramenta
infer.olsv0.1.0call_79a78337decidido pelo modeloreexecutávelMotivo: causcibench_metadata_rule/1: did
Argumentos
{ "cluster": null, "controls": [ "VCRate_Total", "PCRate_Total", "divorcerate", "women_leg", "pop_pctblk", "felonspc", "bwpovratio", "bwcolratio", "unemp", "racialdiversity", "govideo", "threestrikes", "blk_leg", "totdempct", "eduattain_ma", "SC_RD" ], "dataset": "hawes_social_capital", "fe": [ "statename", "year" ], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "SC8609_ma" ], "y": "prison_BWratio" }Figuras call_79a78337 Chave Valor Valor bruto Erro-padrão IC coef.SC8609_ma Coefficient on SC8609_ma in the regression of prison_BWratio1,82647 1.82646733032083430,364852 0.36485240730662091,11055 – 2,54239 Diagnósticosn_obs= 1.1431143k= 8888r2= 0,7387490.7387494127003897df_resid= 1.0551055se_type="HC1"n_clusters= —fixed_effects="statename (48 levels), year (24 levels)"
Tabelas (1)
{ "coefficients": [ { "ci_high": 31.363892685441588, "ci_low": 15.734551557326572, "coef": 23.54922212138408, "p": 4.530864892612027e-9, "se": 3.98257585559161, "t": 5.913063046450336, "term": "Intercept" }, { "ci_high": 2.542386240842383, "ci_low": 1.1105484197992854, "coef": 1.8264673303208343, "p": 6.507420183800843e-7, "se": 0.3648524073066209, "t": 5.0060443449010235, "term": "SC8609_ma" }, { "ci_high": -0.00219636665123298, "ci_low": -0.006050927314357655, "coef": -0.004123646982795317, "p": 0.000029147635460881856, "se": 0.0009821962490318323, "t": -4.198394146648459, "term": "VCRate_Total" }, { "ci_high": 0.00021120270302497806, "ci_low": -0.0005573084044855536, "coef": -0.00017305285073028777, "p": 0.3770591064400673, "se": 0.00019582743485070653, "t": -0.8837007483768478, "term": "PCRate_Total" }, { "ci_high": 0.3403051271986186, "ci_low": -0.07173472716042861, "coef": 0.134285200019095, "p": 0.20118349305490943, "se": 0.10499354784444045, "t": 1.278985259342349, "term": "divorcerate" }, { "ci_high": 0.15111456480016433, "ci_low": -0.03495116807059475, "coef": 0.058081698364784794, "p": 0.2208343784486317, "se": 0.04741216467219143, "t": 1.2250378941008646, "term": "women_leg" }, { "ci_high": -0.8361801452645786, "ci_low": -1.3146932710369779, "coef": -1.0754367081507783, "p": 4.654356651831525e-18, "se": 0.12193187196206962, "t": -8.81998029592561, "term": "pop_pctblk" }, { "ci_high": 0.0006445842303166098, "ci_low": 0.00002922120687364122, "coef": 0.0003369027185951255, "p": 0.031895487589716276, "se": 0.00015680314988961993, "t": 2.1485711150081164, "term": "felonspc" }, { "ci_high": 1.8718463040315918, "ci_low": 0.9549069797878638, "coef": 1.4133766419097278, "p": 2.0194206442856703e-9, "se": 0.2336490312574029, "t": 6.049144027276794, "term": "bwpovratio" }, { "ci_high": 12.173718595567093, "ci_low": -1.7834038663391354, "coef": 5.195157364613979, "p": 0.14437853648497273, "se": 3.5564710293726227, "t": 1.4607618961907944, "term": "bwcolratio" }, { "ci_high": -0.025840992921422945, "ci_low": -0.4134805506875765, "coef": -0.21966077180449972, "p": 0.026371181268112293, "se": 0.09877600922374156, "t": -2.2238271573306547, "term": "unemp" }, { "ci_high": 6.726853423603738, "ci_low": -2.3044197327982348, "coef": 2.2112168454027517, "p": 0.3368439998421098, "se": 2.3012953727933017, "t": 0.9608574681653259, "term": "racialdiversity" }, { "ci_high": 0.0071462020609645285, "ci_low": -0.0033704616856129145, "coef": 0.0018878701876758068, "p": 0.4812872723749468, "se": 0.0026797937785843374, "t": 0.7044833832971721, "term": "govideo" }, { "ci_high": 1.8190116092638124, "ci_low": 0.9850781786460958, "coef": 1.4020448939549541, "p": 6.585894972101007e-11, "se": 0.2124979625644242, "t": 6.5979215849182005, "term": "threestrikes" }, { "ci_high": 0.08557931358442866, "ci_low": -0.015193214482495908, "coef": 0.03519304955096638, "p": 0.17081027424387846, "se": 0.025678256933321205, "t": 1.3705388820725746, "term": "blk_leg" }, { "ci_high": 0.06348799489873347, "ci_low": 0.019213451791493436, "coef": 0.04135072334511345, "p": 0.0002593821545590093, "se": 0.01128177604870731, "t": 3.665267167739206, "term": "totdempct" }, { "ci_high": 0.07929123287568052, "ci_low": -0.25226444985549457, "coef": -0.08648660848990702, "p": 0.30621578150543477, "se": 0.08448504937000009, "t": -1.0236912818875343, "term": "eduattain_ma" }, { "ci_high": -3.4314037928491072, "ci_low": -6.355249038425814, "coef": -4.8933264156374605, "p": 7.996184671330464e-11, "se": 0.7450368755195566, "t": -6.567898283189091, "term": "SC_RD" } ] }- 438 rows were dropped because one of 'prison_BWratio', 'SC8609_ma', 'VCRate_Total', 'PCRate_Total', 'divorcerate', 'women_leg', 'pop_pctblk', 'felonspc', 'bwpovratio', 'bwcolratio', 'unemp', 'racialdiversity', 'govideo', 'threestrikes', 'blk_leg', 'totdempct', 'eduattain_ma', 'SC_RD', 'statename', 'year' was missing
- Digests dos dados
hawes_social_capitale2b6dec2ff6051ed1011c66284c556c617a8a080000def1da9de89f583f88cbc- sha256 do resultado
cbf8f2de8a7b4085e34b92883ad67cd388cebce87ff653c1808ff4cd8028677f
- 3Turno do modelo
call_94874986referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa (infer.ols): coef.SC8609_ma = 1,826.", "caveats": [], "figure_refs": [ "call_79a78337:coef.SC8609_ma" ] }
- 4Guardaresposta aceita
- Números encontrados
- 1,826
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa (infer.ols): coef.SC8609_ma = 1,826.
Figuras citadas:call_79a78337:coef.SC8609_ma· Parada:answeredFigura da resposta:call_79a78337:coef.SC8609_ma= 1,826471.8264673303208343(se 0,3648520.3648524073066209) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximafalhouobrigatória
1.82646733 vs 1.038
Épocas × verificações
| # | 0 | 1 |
|---|---|---|
| Época 1 | passou | falhou |
Tentativas
Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.
- época 1, tentativa 1falhoupontuada(exibindo)
Downloads desta tarefa
863572886a81ab7db31a8211214281dca13a9bcf8060831380277703c169c06aO 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.
| Arquivo | Tamanho | sha256 |
|---|---|---|
| attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json | 2,4 KB | 433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420 |
| attachments/48908ba391d5b5625efc0808b6f2e98f15fc1f521fe7f0fb35f5e3e9661d6919.json | 437 B | 48908ba391d5b5625efc0808b6f2e98f15fc1f521fe7f0fb35f5e3e9661d6919 |
| attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json | 64,0 KB | 52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b |
| attachments/94cfee38b56530b4e86b4c1d759936093728e0e594bedd3a61f3e63ae04d5bd2.json | 2,6 KB | 94cfee38b56530b4e86b4c1d759936093728e0e594bedd3a61f3e63ae04d5bd2 |
| attachments/b708ccec40feaaa1a6cdcad78cd89aa32cf1e6092ed80e7dcdc55dfe068be0c1.json | 3,4 KB | b708ccec40feaaa1a6cdcad78cd89aa32cf1e6092ed80e7dcdc55dfe068be0c1 |
| attachments/d38b22f4e9f40e8d4fa101ad0ab708cfafea318abb38ba2a0e84049a4422c269.json | 149 B | d38b22f4e9f40e8d4fa101ad0ab708cfafea318abb38ba2a0e84049a4422c269 |
| attachments/eba3a6637156ce5fc77396aff7a080dd87fac109510eab2c95dbc6b3be9fcda7.json | 2,5 KB | eba3a6637156ce5fc77396aff7a080dd87fac109510eab2c95dbc6b3be9fcda7 |
| native/causcibench_real/causcibench_real.q119.e1.a1.json | 2,2 KB | 25ff4bdbc84a2aba78a62e5cf182dd89819a51b0a306605233babb77c5b88fc9 |
| sources/causcibench_real.gold.q119.json | 1,2 KB | dc7bd95fa01b286b4843a07e17916bcda974741cf4d95aff0b88c05af37a6961 |
| specs/causcibench_real.q119.json | 7,1 KB | 947a494873f844203788e5ad196672af587e6bdf43c59aa244600c0796c15286 |
| traces/causcibench_real.q119.e1.a1.jsonl | 18,2 KB | 1b617d7b8b9acefe94cb64f72223ad63da0ad23679de1609452e1630a7724444 |
| trajectories/causcibench_real.q119.e1.a1.jsonl | 14,4 KB | a416d4c44d05a72ad4cb94602a4303e4f21fca0b0987d8f3c4f30371df676eb3 |