Tarefa crb_papers.q114
Veredito
Família do método (das chamadas de ferramentas): ols (regression)
Pergunta feita ao analista
What is the effect of serving a Senate term on the probability of ever serving on a corporate board, for candidates whose service is determined by election outcomes?
Estimativa ingênua (infer.ols): coef.everwon = 0,3427.
Valores esperados e de onde vêm
crb_papers.q114.gold
- Fonte
- CausalReasoningBenchmark, causal_queries.json, index 114 (revision edd0fe1c1d1c)
- Tipo
- benchmark_gold
- Localização
- causal_queries.json['114'].effect and .standard_error
- Trecho
index 114: effect 0.327655, standard_error 0.185873
- Valor como publicado
0.3276553502201477- Erro-padrão como publicado
0.1858726681755152- Valor
- 0,327655
0.3276553502201477(se 0,1858730.1858726681755152) - Conferido por
- arquivo do benchmark · Read from the catalog at the pinned revision by scripts/freeze_crb_papers.py; the catalog states the value its estimation script prints.
- Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/causal_queries.json- Licença
- MIT
- #2 figura da resposta próxima: 0,327655
0.3276553502201477· relativa 0.000001 · absoluta 1.858726681755152e-7 - #3 figura da resposta próxima: 0,185873
0.1858726681755152· relativa 0.000001 · absoluta 1.858726681755152e-7
crb_papers.q114.script
- Fonte
- CausalReasoningBenchmark reference estimation script for index 114
- Tipo
- software
- Localização
- solutions/research_papers/RDD/palmer_schneer_2016a/question_1/estimation.py
- Valor
- —
- Conferido por
- arquivo do benchmark · sha256 of the script's 1768 bytes at the pinned revision; the reference path of the item is a transcription of this script into typed transforms and tool calls (never executed here).
- Implementação
- independente da ferramenta
- sha256 da cópia lida
8b7f60260dfd648790b66b66e9ced63af6407fde604c435da1085999fd166f22(identifica a cópia lida, não um arquivo canônico)- Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/palmer_schneer_2016a/question_1/estimation.py- Licença
- MIT
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number backed | obrigatória | passou | — | [] | — | — | — |
| 1 | figura da resposta próxima 0.3426823049 in [-0.0366550794, 0.6919657798]? | obrigatória | passou | [-0.03665507940386209,0.6919657798441574] | 0,3426820.3426823049464559 | interval · [-0.03665507940386209, 0.6919657798441574] | — | call_67b00546 |
| 2 | figura da resposta próxima 0.3426823049 vs 0.3276553502201477 | registrada | falhou | 0,3276550.3276553502201477 | 0,3426820.3426823049464559 | relativa 0.000001 · absoluta 1.858726681755152e-7 | crb_papers.q114.gold | call_67b00546 |
| 3 | figura da resposta próxima 0.05100216484 vs 0.1858726681755152 | registrada | falhou | 0,1858730.1858726681755152 | 0,05100220.0510021648362006 | relativa 0.000001 · absoluta 1.858726681755152e-7 | crb_papers.q114.gold | call_67b00546 |
Caminho de referência e caminho do agente
A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.
Nenhum caminho de referência registrado para esta tarefa.
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
What is the effect of serving a Senate term on the probability of ever serving on a corporate board, for candidates whose service is determined by election outcomes?
ds_0079(agent)| Variable Name | Description | | --- | --- | | Unnamed: 0 | Row identifier for the candidate observation (index carried over from the source CSV; not a substantive variable). | | d_board0 | Binary indicator equal to 1 if the individual ever served as a director on the board of at least one publicly traded corporation observed in BoardEx during 2000–2013, excluding any board positions held before the candidate’s first Senate election; 0 otherwise. | | margin | Vote margin in the candidate’s first U.S. Senate general election used for the dataset, measured as (candidate vote share − 0.50). Units are vote-share proportion (e.g., 0.03 = 3 percentage points above 50%; −0.03 = 3 points below 50%). | | everwon | Binary indicator equal to 1 if the candidate ever went on to hold U.S. Senate office at any point (i.e., ultimately won a Senate election and served), and 0 otherwise. This can differ from the first-election result captured by `margin` (e.g., a candidate with a negative first-election `margin` may later win and thus have `everwon = 1`). | Dataset Context: This dataset is a candidate-level file focused on U.S. Senate contests. Each row corresponds to an individual candidate, keyed to the candidate’s first Senate election used in the dataset, and includes (i) an election vote margin for that first contest and (ii) information on whether the individual later appeared as a director on the board of a publicly traded firm during the BoardEx coverage period. Corporate board service outcomes are based on BoardEx’s historical database of publicly traded firm directorships, which compiles board membership information from public disclosures for firms traded on U.S. exchanges. The BoardEx coverage window used here spans 2000–2013. Election results used to construct the vote margin were drawn from official election returns and standard political data sources. The board-service outcome variables are constructed to exclude board positions held prior to the candidate’s first Senate election. The dataset also applies eligibility restrictions consistent with the underlying data availability window (e.g., board outcomes are only observed in 2000–2013) and excludes cases where board service cannot be meaningfully assessed (such as candidates who did not survive into the relevant observation window or other similar sample restrictions implemented in the source study).
file7c30113ed34649d0517845d711f5fa66adbcc9ae997bc77780dcbada92691254· frame — - 1Turno do modelo
call_94c5825cnaive-olsFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelLinha de base ingênua: regressão do resultado no tratamento, sem controles.
Chamadas pedidasinfer.ols{ "dataset": "ds_0079", "x": [ "everwon" ], "y": "d_board0" }
- 2Ferramenta
infer.olsv0.1.0call_67b00546decidido pelo modeloreexecutávelMotivo: Linha de base ingênua: regressão do resultado no tratamento, sem controles.
Argumentos
{ "cluster": null, "controls": [], "dataset": "ds_0079", "fe": [], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "everwon" ], "y": "d_board0" }Figuras call_67b00546 Chave Valor Valor bruto Erro-padrão IC coef.everwon Coefficient on everwon in the regression of d_board00,342682 0.34268230494645590,0510022 0.05100216483620060,242436 – 0,442929 Diagnósticosn_obs= 429429k= 22r2= 0,1336950.13369517354639238df_resid= 427427se_type="HC1"n_clusters= —
Tabelas (1)
{ "coefficients": [ { "ci_high": 0.16242209524681586, "ci_low": 0.0891502317972093, "coef": 0.12578616352201258, "p": 4.883914424386667e-11, "se": 0.018639163684953303, "t": 6.748487520583073, "term": "Intercept" }, { "ci_high": 0.4429288535759197, "ci_low": 0.24243575631699207, "coef": 0.3426823049464559, "p": 5.867230542055249e-11, "se": 0.0510021648362006, "t": 6.718975675778079, "term": "everwon" } ] }- Digests dos dados
ds_0079c73a3376b9d9bc36db221cdbfa92366c5cad696f4d515eab51da090693091c8d- sha256 do resultado
41411dc10f28ef735c22a75a30e127432ef7c4e284e61ad1fa883bc109c7ba1c
- 3Turno do modelo
call_29a57b56naive-olsFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa ingênua (infer.ols): coef.everwon = 0,3427.", "caveats": [], "figure_refs": [ "call_67b00546:coef.everwon" ] }
- 4Guardaresposta aceita
- Números encontrados
- 0,3427
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa ingênua (infer.ols): coef.everwon = 0,3427.
Figuras citadas:call_67b00546:coef.everwon· Parada:answeredFigura da resposta:call_67b00546:coef.everwon= 0,3426820.3426823049464559(se 0,05100220.0510021648362006) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximapassouobrigatória
0.3426823049 in [-0.0366550794, 0.6919657798]? - 8Pontuação#2figura da resposta próximafalhouregistrada
0.3426823049 vs 0.3276553502201477 - 9Pontuação#3figura da resposta próximafalhouregistrada
0.05100216484 vs 0.1858726681755152
Épocas × verificações
| # | 0 | 1 | 2 | 3 |
|---|---|---|---|---|
| Época 1 | passou | passou | falhou | 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
ba388a9d9e1d46c6f973a6f2437e86655a6baca0aa5ed577a572390604e8d333O 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 |
|---|---|---|
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| attachments/452157f4c816694a5a11a4064d724af625e21c233509d6fb5c530323cdab81fc.json | 877 B | 452157f4c816694a5a11a4064d724af625e21c233509d6fb5c530323cdab81fc |
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| attachments/f2b66a673c9022506a1c1cf491ed01b93dee728a70719471518b838fab0a1027.json | 228 B | f2b66a673c9022506a1c1cf491ed01b93dee728a70719471518b838fab0a1027 |
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| native/crb_papers/crb_papers.q114.e1.a1.json | 4,1 KB | f36c4927305ed9947172d73ebf884db2d3934e5a2f9fc4b88c9b683cf0c7978c |
| sources/crb_papers.q114.gold.json | 1,1 KB | 5698371a5850ff578c86c2953be9b42f5c53998213364068aca7e07b55eddb94 |
| sources/crb_papers.q114.script.json | 1,1 KB | 8fc38914a01c131983ef54102e56d61f971da744ee987f5e5fad81a2850bce21 |
| specs/crb_papers.q114.json | 6,5 KB | 6ab56cb4fbfc1f1cd15449aae5c89c4674762de702321c77d5a7c2ea3de99dca |
| traces/crb_papers.q114.e1.a1.jsonl | 13,4 KB | 86d224290a8d5302605444c21ec1ba997790702101e1c02d6ea173bd60a65add |
| trajectories/crb_papers.q114.e1.a1.jsonl | 12,0 KB | ffa976a737d570bf9e5de058aa4b40d25d7cd1e36373c90505c5e6f3716a5e85 |