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Tarefa causcibench_real.q091

causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171142Z-suite-causcibench_real-naive-d6494d

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
-0.02293259895 vs -0.05

Família 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?

Resposta

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

Cada verificação, o que esperava, o que observou e a chamada que leu
#VerificaçãoObrigatóriaResultadoEsperadoObservadoTolerânciaFonteChamada
0resposta com lastro
every number backed
obrigatóriapassou—[]———
1figura da resposta próxima
-0.02293259895 vs -0.05
obrigatóriafalhou-0,05-0.05-0,0229326-0.022932598951180404relativa 0.05causcibench_real.gold.q091call_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.

  1. 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

    file 084e55af44aa47af396b25c1a5f50154f0296498873f751c2da4782c2a2f3b18 · frame —
  2. 1Turno do modelo
    call_967f07fcnaive-olsFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Texto visível

    Linha de base ingênua: regressão do resultado no tratamento, sem controles.

    Chamadas pedidas
    • infer.ols
      {
        "dataset": "zoorob_does_right",
        "x": [
          "union"
        ],
        "y": "lr"
      }
  3. 2Ferramenta
    infer.olsv0.1.0call_ed54d46edecidido pelo modeloreexecutável

    Motivo: 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
    ChaveValorValor brutoErro-padrãoIC
    coef.union
    Coefficient on union in the regression of lr
    -0,0229326 -0.0229325989511804040,002411560.0024115605005975544-0,0276638 – -0,0182014
    Diagnósticos
    • n_obs = 1.2501250
    • k = 22
    • r2 = 0,06908150.06908146957065542
    • df_resid = 1.2481248
    • se_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_right 981c4493576b3e58caa89f271bf4ae2ef41ab213843ea86787177d7300ceaef0
    sha256 do resultado
    934b6e9133893ff2d1b55319e3bd1b64946603525fcae5723f94fa739cb6e92d
  4. 3Turno do modelo
    call_7d1fbf01naive-olsFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Chamadas pedidas
    • submit_answer (meta-ferramenta)
      {
        "answer": "Estimativa ingênua (infer.ols): coef.union = -0,02293.",
        "caveats": [],
        "figure_refs": [
          "call_ed54d46e:coef.union"
        ]
      }
  5. 4Guarda
    resposta aceita
    Números encontrados
    -0,02293
    Sem lastro
    —
    Não citados
    —
    1 nova(s) tentativa(s) restante(s)
  6. 5Resposta

    Estimativa ingênua (infer.ols): coef.union = -0,02293.

    Figuras citadas: call_ed54d46e:coef.union · Parada: answered
    Figura da resposta: call_ed54d46e:coef.union = -0,0229326-0.022932598951180404 (se 0,002411560.0024115605005975544)
  7. 6Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
  8. 7Pontuação
    #1figura da resposta próximafalhouobrigatória-0.02293259895 vs -0.05

Épocas × verificações

Resultado de cada verificação em cada época pontuada
#01
Época 1passoufalhou

Tentativas

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

Downloads desta tarefa

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