Tarefa causcibench_real.q091
causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171142Z-suite-causcibench_real-naive-d6494dVeredito
-0.02293259895 vs -0.05Família do método (das chamadas de ferramentas): ols (regression)
Pergunta feita ao analista
How does the percentage of unionised workers in a state effect the state's occupational fatality rate per 100,000 workers?
Estimativa ingênua (infer.ols): coef.union = -0,02293.
Valores esperados e de onde vêm
causcibench_real.gold.q091
- Fonte
- CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 91
- Tipo
- benchmark_gold
- Localização
- real_input.json, record id 91: fields effect and std_error
- Trecho
id 91 effect -0.05 std_error 0.014
- Valor como publicado
-0.05- Erro-padrão como publicado
0.014- Valor
- -0,05
-0.05(se 0,0140.014) - 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: -0,05
-0.05· 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 -0.02293259895 vs -0.05 | obrigatória | falhou | -0,05-0.05 | -0,0229326-0.022932598951180404 | relativa 0.05 | causcibench_real.gold.q091 | call_ed54d46e |
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
How does the percentage of unionised workers in a state effect the state's occupational fatality rate per 100,000 workers?
zoorob_does_right(agent)This dataset consists of U.S. state-year panel covering 50 states from 1992-2016, combining annual counts of occupational fatalities, employed population, unionization rates, sectoral employment composition, and statutory right-to-work status; each row is a state-year observation with a derived fatality rate per 100,000 workers and its natural logarithm. The fatalities series comes from the Bureau of Labor Statistics' Census of Fatal Occupational Injuries, employment from BLS state employment data, unionization from the Union Membership and Coverage Database, and sectoral composition from BLS industry employment, yielding 1,250 total observations. Variables: state: State identifier (name or postal abbreviation) for each observation year: Calendar year of the observation, ranging from 1992 to 2016 policy: Annual index of state policy liberalism capturing a state's overall regulatory orientation (higher values indicate more liberal policy environments) fatalities: Number of occupational fatalities in the state during the year from CFOI (count of deaths) employment: Employed population used to scale fatality counts to rates (number of workers or full-time equivalent workers) rate: Occupational fatality rate per 100,000 workers, computed as fatalities divided by employment and multiplied by 100,000 union: Unionization rate (share of workers who are union members or covered by a union contract) expressed in percentage points trtraut: Number of workers employed in trade, transportation, and utilities in the state-year (industry employment count) pctttu: Share of workers employed in trade, transportation, and utilities (percent of total employment) mlc: Number of workers employed in mining, logging, and construction in the state-year (industry employment count) pctmlc: Share of workers employed in mining, logging, and construction (percent of total employment) manuf: Number of workers employed in manufacturing in the state-year (industry employment count) pctmanufacturing: Share of workers employed in manufacturing (percent of total employment) ST: State code used for grouping and identification in the dataset (numeric or categorical state code aligned with state) RTW: Indicator for whether a right-to-work law is in effect in that state-year (1 = RTW in force, 0 = otherwise) lr: Natural logarithm of the fatality rate variable to stabilize scale and interpret changes in proportional terms
file084e55af44aa47af396b25c1a5f50154f0296498873f751c2da4782c2a2f3b18· frame — - 1Turno do modelo
call_967f07fcnaive-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": "zoorob_does_right", "x": [ "union" ], "y": "lr" }
- 2Ferramenta
infer.olsv0.1.0call_ed54d46edecidido pelo modeloreexecutávelMotivo: Linha de base ingênua: regressão do resultado no tratamento, sem controles.
Argumentos
{ "cluster": null, "controls": [], "dataset": "zoorob_does_right", "fe": [], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "union" ], "y": "lr" }Figuras call_ed54d46e Chave Valor Valor bruto Erro-padrão IC coef.union Coefficient on union in the regression of lr-0,0229326 -0.0229325989511804040,00241156 0.0024115605005975544-0,0276638 – -0,0182014 Diagnósticosn_obs= 1.2501250k= 22r2= 0,06908150.06908146957065542df_resid= 1.2481248se_type="HC1"n_clusters= —
Tabelas (1)
{ "coefficients": [ { "ci_high": 1.865009957123269, "ci_low": 1.7546904337616607, "coef": 1.8098501954424648, "p": 0, "se": 0.028115958595184527, "t": 64.37092263154923, "term": "Intercept" }, { "ci_high": -0.018201438815150586, "ci_low": -0.02766375908721022, "coef": -0.022932598951180404, "p": 9.473793012011091e-21, "se": 0.0024115605005975544, "t": -9.509443758718884, "term": "union" } ] }- 100 rows were dropped because one of 'lr', 'union' was missing
- Digests dos dados
zoorob_does_right981c4493576b3e58caa89f271bf4ae2ef41ab213843ea86787177d7300ceaef0- sha256 do resultado
934b6e9133893ff2d1b55319e3bd1b64946603525fcae5723f94fa739cb6e92d
- 3Turno do modelo
call_7d1fbf01naive-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.union = -0,02293.", "caveats": [], "figure_refs": [ "call_ed54d46e:coef.union" ] }
- 4Guardaresposta aceita
- Números encontrados
- -0,02293
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa ingênua (infer.ols): coef.union = -0,02293.
Figuras citadas:call_ed54d46e:coef.union· Parada:answeredFigura da resposta:call_ed54d46e:coef.union= -0,0229326-0.022932598951180404(se 0,002411560.0024115605005975544) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximafalhouobrigatória
-0.02293259895 vs -0.05
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
90f314d29082e65b1d5b6b47080e84e5bf0ec955c2f17e9fc2c1dae5cb97e140O 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/15beaabf8dac226b3d8816d45cb7b905553450a5ecc4a0d8339b030f6c409245.json | 1,0 KB | 15beaabf8dac226b3d8816d45cb7b905553450a5ecc4a0d8339b030f6c409245 |
| attachments/18be80a0aa4543448c2a077e7ee9cb108555dd979ba2f7c0337a3944ebdc061f.json | 3,0 KB | 18be80a0aa4543448c2a077e7ee9cb108555dd979ba2f7c0337a3944ebdc061f |
| attachments/288dfb251e3faf98d3f4fd3c6ecba7a9f4a43c0d4191b9e6347111faf6160eed.json | 947 B | 288dfb251e3faf98d3f4fd3c6ecba7a9f4a43c0d4191b9e6347111faf6160eed |
| attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json | 2,4 KB | 433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420 |
| attachments/4e706ae5484e8d2f9d5d06cc224bfd45ea338549fbcedf991b2ce2727df61cbf.json | 230 B | 4e706ae5484e8d2f9d5d06cc224bfd45ea338549fbcedf991b2ce2727df61cbf |
| attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json | 64,0 KB | 52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b |
| attachments/7148261781b319c73a46c4a9771797398cfb1d5bbd72d395d0c03053c110c553.json | 147 B | 7148261781b319c73a46c4a9771797398cfb1d5bbd72d395d0c03053c110c553 |
| native/causcibench_real/causcibench_real.q091.e1.a1.json | 1,7 KB | 5246d480a54fca64b38c59df44f74128c89cd49155893ac1e7ad2aebb6d7e713 |
| sources/causcibench_real.gold.q091.json | 1,2 KB | f3811f320f312a8ac4c8afceda6554d2fdc237264cc4def3c1693a4db59ea800 |
| specs/causcibench_real.q091.json | 6,1 KB | 0fbc76cbe37dca00199ea67eae207f825734d49c4e54a97b347775490bfbda7f |
| traces/causcibench_real.q091.e1.a1.jsonl | 13,8 KB | 8b4623b1207b61b50d792358c2c780ee6ed857ad1b53f1995504d2d336785617 |
| trajectories/causcibench_real.q091.e1.a1.jsonl | 10,9 KB | e16ccbccc439ddd4b8d32b0fea06ea8031d2f65f3a28ea5fbbd9eb08d0ac9550 |