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Tarefa crb_papers.q117

crb_papersagentT2publicépoca 1, tentativa 1Execução: 20261015T171027Z-suite-crb_papers-naive-54c3f2

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
0.8749535646 in [0.004128055009, 0.3655441206]?

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

Pergunta feita ao analista

Among U.S. House districts with very close elections around the 50% Democratic vote threshold in the 78th Congress, what is the causal effect of electing a Democrat (versus a Republican) on the probability that the representative signs a civil-rights discharge petition?

Resposta

Estimativa ingênua (infer.ols): coef.Dvotespercent = 0,8750.

Valores esperados e de onde vêm

crb_papers.q117.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 117 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['117'].effect and .standard_error
Trecho
index 117: effect 0.184836, standard_error 0.092198
Valor como publicado
0.18483608780919436
Erro-padrão como publicado
0.09219797591861177
Valor
0,1848360.18483608780919436 (se 0,0921980.09219797591861177)
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: 0,1848360.18483608780919436 · relativa 0.000001 · absoluta 9.219797591861176e-8
  • #3 figura da resposta próxima: 0,0921980.09219797591861177 · relativa 0.000001 · absoluta 9.219797591861176e-8

crb_papers.q117.script

Fonte
CausalReasoningBenchmark reference estimation script for index 117
Tipo
software
Localização
solutions/research_papers/RDD/schickler_etal_2009b/question_1/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 2248 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
a47431508043ef1bc8c33888de43795f68ec9662070469fbce9478124c4ef144 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/schickler_etal_2009b/question_1/estimation.py
Licença
MIT

    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
    0.8749535646 in [0.004128055009, 0.3655441206]?
    obrigatóriafalhou[0.004128055008715298,0.36554412060967345]0,8749540.8749535645527936interval · [0.004128055008715298, 0.36554412060967345]—call_be7020ee
    2figura da resposta próxima
    0.8749535646 vs 0.18483608780919436
    registradafalhou0,1848360.184836087809194360,8749540.8749535645527936relativa 0.000001 · absoluta 9.219797591861176e-8crb_papers.q117.goldcall_be7020ee
    3figura da resposta próxima
    0.1228016587 vs 0.09219797591861177
    registradafalhou0,0921980.092197975918611770,1228020.12280165872525636relativa 0.000001 · absoluta 9.219797591861176e-8crb_papers.q117.goldcall_be7020ee

    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

      Among U.S. House districts with very close elections around the 50% Democratic vote threshold in the 78th Congress, what is the causal effect of electing a Democrat (versus a Republican) on the probability that the representative signs a civil-rights discharge petition?

      ds_0082 (agent)

      | Variable Name | Description | | --- | --- | | (unnamed) | Row index carried over from the CSV export; not a substantive variable. | | petpooled | Indicator equal to 1 if the House member signed at least one civil-rights–related discharge petition during the **78th Congress (1943–1944)**; 0 otherwise. | | Dvotespercent | Democratic candidate’s share of the **two-party vote** in the general election immediately preceding service in the 78th Congress (i.e., the **1942** U.S. House election for the district/seat), coded as a proportion from 0 to 1 (e.g., 0.50 = 50%). | | icpsr | ICPSR numeric identifier for the member of the U.S. House of Representatives. | Dataset Context: This file contains member-level records from the U.S. House of Representatives for the **78th Congress (1943–1944)**. Each observation corresponds to a single House member/district in that Congress and includes (i) whether the member signed any civil-rights–related discharge petition(s) during the Congress, (ii) the district’s Democratic two-party vote share in the immediately preceding House election (1942), and (iii) a stable legislator identifier. Because this extract includes only one Congress, there is **no separate Congress/session/year column** in the file. The data were assembled by combining archival records of discharge petition signatures (from National Archives holdings on House discharge petitions), historical U.S. House election returns (two-party vote shares by district), and ICPSR legislator identification codes. The broader underlying project described in the accompanying documentation spans multiple Congresses across the mid-20th century (1933–1976) and compiles repeated measures of legislative activity and election results; this benchmark CSV is a single-Congress subset for 1943–44.

      file b3af3d8d86f85721c10f0046184627dc0c3982250018ee826277a302ca85839f · frame —
    2. 1Turno do modelo
      call_03a914c2naive-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": "ds_0082",
          "x": [
            "Dvotespercent"
          ],
          "y": "petpooled"
        }
    3. 2Ferramenta
      infer.olsv0.1.0call_be7020eedecidido pelo modeloreexecutável

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

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0082",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "Dvotespercent"
        ],
        "y": "petpooled"
      }
      Figuras call_be7020ee
      ChaveValorValor brutoErro-padrãoIC
      coef.Dvotespercent
      Coefficient on Dvotespercent in the regression of petpooled
      0,874954 0.87495356455279360,1228020.122801658725256360,633915 – 1,11599
      Diagnósticos
      • n_obs = 831831
      • k = 22
      • r2 = 0,06628110.06628114350597902
      • df_resid = 829829
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 0.06427953593893093,
            "ci_low": -0.16118291935075071,
            "coef": -0.04845169170590989,
            "p": 0.3991246378963572,
            "se": 0.05743301496724223,
            "t": -0.843620898773032,
            "term": "Intercept"
          },
          {
            "ci_high": 1.1159923077359055,
            "ci_low": 0.6339148213696816,
            "coef": 0.8749535645527936,
            "p": 2.263155641877603e-12,
            "se": 0.12280165872525636,
            "t": 7.124932787026302,
            "term": "Dvotespercent"
          }
        ]
      }
      • 84 rows were dropped because one of 'petpooled', 'Dvotespercent' was missing
      Digests dos dados
      ds_0082 39e2e6852e5940b1797b82277695a8528505fea6358f41a9d0302e5be403f512
      sha256 do resultado
      33fee8d1a0c5c6e09bbd8cf2dc6cb2870365ae93ed964f5839dbc3f70f369204
    4. 3Turno do modelo
      call_7dbe5250naive-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.Dvotespercent = 0,8750.",
          "caveats": [],
          "figure_refs": [
            "call_be7020ee:coef.Dvotespercent"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      0,8750
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.Dvotespercent = 0,8750.

      Figuras citadas: call_be7020ee:coef.Dvotespercent · Parada: answered
      Figura da resposta: call_be7020ee:coef.Dvotespercent = 0,8749540.8749535645527936 (se 0,1228020.12280165872525636)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximafalhouobrigatória0.8749535646 in [0.004128055009, 0.3655441206]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada0.8749535646 vs 0.18483608780919436
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.1228016587 vs 0.09219797591861177

    Épocas × verificações

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    #0123
    Época 1passoufalhoufalhoufalhou

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