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Tarefa causcibench_real.q130

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

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
-0.02044589885 vs -0.164

Família do método (das chamadas de ferramentas): ols (regression)

Pergunta feita ao analista

What is the effect of being drafted on the compliers among those who comply with the draft lottery, explained by serving in the military, with respect to holding mild democrat views?

Resposta

Estimativa ingênua (infer.ols): coef.ceiling = -0,02045.

Valores esperados e de onde vêm

causcibench_real.gold.q130

Fonte
CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 130
Tipo
benchmark_gold
Localização
real_input.json, record id 130: fields effect and std_error
Trecho
id 130 effect -0.164 std_error 0.183
Valor como publicado
-0.164
Erro-padrão como publicado
0.183
Valor
-0,164-0.164 (se 0,1830.183)
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: -0,164-0.164 · 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
-0.02044589885 vs -0.164
obrigatóriafalhou-0,164-0.164-0,0204459-0.02044589884800596relativa 0.05causcibench_real.gold.q130call_63cd85e8

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

    What is the effect of being drafted on the compliers among those who comply with the draft lottery, explained by serving in the military, with respect to holding mild democrat views?

    deuchert_direct (agent)

    The study analyzes the impact of the Vietnam draft lottery on political preferences, recognizing that lottery assignment may have influenced attitudes through multiple channels beyond military service alone. Not everyone chosen by the lottery actually served, creating variation in both draft exposure and service status. Interviews were conducted in wave 4 (prior to July 1, 1970 lottery) and wave 5 (spring 1974), allowing examination of attitude changes over time. Each row contains an individual's political preferences in a given wave. Focus on waves 4 and 5. The direct effect captures how lottery assignment affected political preferences independent of military service—through heightened political awareness, life planning changes, or social identity shifts. The indirect effect operates through actual military service experience. Variables in the dataset: wave: phase when the political preferences were measured treatment1: whether the individual actually served in military ceiling: 1 if the individual was chosen by the draft lottery, 0 otherwise id: person identifier (used for the estimating standard errors via bootstrap) repu: whether the individual describes themselves as a mild republican srepu: whether the individual describes themselves as a strong republican demo: whether the individual describes themselves as a democrat sdemo: whether the individual describes themselves as a strong democrat polalient: political alienation, how skeptical the individual is about the government Vietnam: how skeptical the individual is about the Vietnam war ERindex: preferences for civil rights interventions

    file 67fe68b0268edd264164261c1503c0ed32651add2e52cdd3e332c791d4aff2f8 · frame —
  2. 1Turno do modelo
    call_47b6ee2enaive-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": "deuchert_direct",
        "x": [
          "ceiling"
        ],
        "y": "demo"
      }
  3. 2Ferramenta
    infer.olsv0.1.0call_63cd85e8decidido pelo modeloreexecutável

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

    Argumentos
    {
      "cluster": null,
      "controls": [],
      "dataset": "deuchert_direct",
      "fe": [],
      "intercept": true,
      "level": 0.95,
      "se": "HC1",
      "subset": null,
      "weights": null,
      "x": [
        "ceiling"
      ],
      "y": "demo"
    }
    Figuras call_63cd85e8
    ChaveValorValor brutoErro-padrãoIC
    coef.ceiling
    Coefficient on ceiling in the regression of demo
    -0,0204459 -0.020445898848005960,01524980.015249800392789377-0,050343 – 0,00945124
    Diagnósticos
    • n_obs = 4.4834483
    • k = 22
    • r2 = 0,000397660.00039765951571968383
    • df_resid = 4.4814481
    • se_type = "HC1"
    • n_clusters = —
    Tabelas (1)
    {
      "coefficients": [
        {
          "ci_high": 0.38983256485487316,
          "ci_low": 0.3552654743608131,
          "coef": 0.37254901960784315,
          "p": 0,
          "se": 0.008815915465543988,
          "t": 42.258687831559754,
          "term": "Intercept"
        },
        {
          "ci_high": 0.009451236183187085,
          "ci_low": -0.05034303387919901,
          "coef": -0.02044589884800596,
          "p": 0.18007536920939565,
          "se": 0.015249800392789377,
          "t": -1.3407322273984306,
          "term": "ceiling"
        }
      ]
    }
    • 485 rows were dropped because one of 'demo', 'ceiling' was missing
    Digests dos dados
    deuchert_direct 39244b0e48fedebdf1241f7685b70a8ee1eacc73a96e66a6e07a3a8a4cfe65a7
    sha256 do resultado
    10b04044524c6c018cf43c7cbc445b9c1e44835e2a15cbb0ccd17b3f02a03e7d
  4. 3Turno do modelo
    call_0b677cb0naive-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.ceiling = -0,02045.",
        "caveats": [],
        "figure_refs": [
          "call_63cd85e8:coef.ceiling"
        ]
      }
  5. 4Guarda
    resposta aceita
    Números encontrados
    -0,02045
    Sem lastro
    —
    Não citados
    —
    1 nova(s) tentativa(s) restante(s)
  6. 5Resposta

    Estimativa ingênua (infer.ols): coef.ceiling = -0,02045.

    Figuras citadas: call_63cd85e8:coef.ceiling · Parada: answered
    Figura da resposta: call_63cd85e8:coef.ceiling = -0,0204459-0.02044589884800596 (se 0,01524980.015249800392789377)
  7. 6Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
  8. 7Pontuação
    #1figura da resposta próximafalhouobrigatória-0.02044589885 vs -0.164

Épocas × verificações

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

Tentativas

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