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Tarefa causcibench_real.q129

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

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
0.01705109578 vs -0.004

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

Pergunta feita ao analista

What is the effect of being drafted on those who never serve in the military independently of the draft lottery, not explained by serving in the military, with respect to having positive attitudes towards the government?

Resposta

Estimativa ingênua (infer.ols): coef.ceiling = 0,01705.

Valores esperados e de onde vêm

causcibench_real.gold.q129

Fonte
CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 129
Tipo
benchmark_gold
Localização
real_input.json, record id 129: fields effect and std_error
Trecho
id 129 effect -0.004 std_error 0.156
Valor como publicado
-0.004
Erro-padrão como publicado
0.156
Valor
-0,004-0.004 (se 0,1560.156)
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: -0,004-0.004 · 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
0.01705109578 vs -0.004
obrigatóriafalhou-0,004-0.0040,01705110.01705109577672466relativa 0.05causcibench_real.gold.q129call_1d469bfc

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 those who never serve in the military independently of the draft lottery, not explained by serving in the military, with respect to having positive attitudes towards the government?

    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_51347ba9naive-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": "polalient"
      }
  3. 2Ferramenta
    infer.olsv0.1.0call_1d469bfcdecidido 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": "polalient"
    }
    Figuras call_1d469bfc
    ChaveValorValor brutoErro-padrãoIC
    coef.ceiling
    Coefficient on ceiling in the regression of polalient
    0,0170511 0.017051095776724660,06106010.06106007070699316-0,102655 – 0,136757
    Diagnósticos
    • n_obs = 4.7684768
    • k = 22
    • r2 = 0,00001654040.00001654038175591399
    • df_resid = 4.7664766
    • se_type = "HC1"
    • n_clusters = —
    Tabelas (1)
    {
      "coefficients": [
        {
          "ci_high": 7.888126765360067,
          "ci_low": 7.7525469713835395,
          "coef": 7.820336868371803,
          "p": 0,
          "se": 0.034578533992611474,
          "t": 226.16160852981227,
          "term": "Intercept"
        },
        {
          "ci_high": 0.13675703542724826,
          "ci_low": -0.10265484387379896,
          "coef": 0.01705109577672466,
          "p": 0.7800641987677432,
          "se": 0.06106007070699316,
          "t": 0.2792511633100977,
          "term": "ceiling"
        }
      ]
    }
    • 200 rows were dropped because one of 'polalient', 'ceiling' was missing
    Digests dos dados
    deuchert_direct 39244b0e48fedebdf1241f7685b70a8ee1eacc73a96e66a6e07a3a8a4cfe65a7
    sha256 do resultado
    47e6ea3e47e2e77d7fce4699181138d979489efc5c816bada112d4c4e4431367
  4. 3Turno do modelo
    call_9b08786bnaive-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 = 0,01705.",
        "caveats": [],
        "figure_refs": [
          "call_1d469bfc:coef.ceiling"
        ]
      }
  5. 4Guarda
    resposta aceita
    Números encontrados
    0,01705
    Sem lastro
    —
    Não citados
    —
    1 nova(s) tentativa(s) restante(s)
  6. 5Resposta

    Estimativa ingênua (infer.ols): coef.ceiling = 0,01705.

    Figuras citadas: call_1d469bfc:coef.ceiling · Parada: answered
    Figura da resposta: call_1d469bfc:coef.ceiling = 0,01705110.01705109577672466 (se 0,06106010.06106007070699316)
  7. 6Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
  8. 7Pontuação
    #1figura da resposta próximafalhouobrigatória0.01705109578 vs -0.004

Épocas × verificações

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

Tentativas

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