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Tarefa crb_papers.q116

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

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
-1.000252171 in [-0.7785057898, 0.2248034813]?

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

Pergunta feita ao analista

Among districts with elections decided around the 50% Democratic vote-share threshold, what is the effect of electing a Democrat (versus a Republican) on the representative's likelihood of signing civil-rights discharge petitions in the 73rd Congress?

Resposta

Estimativa ingênua (infer.ols): coef.Dvotespercent = -1,000.

Valores esperados e de onde vêm

crb_papers.q116.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 116 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['116'].effect and .standard_error
Trecho
index 116: effect -0.276851, standard_error 0.255946
Valor como publicado
-0.2768511542844426
Erro-padrão como publicado
0.25594624262841237
Valor
-0,276851-0.2768511542844426 (se 0,2559460.25594624262841237)
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: -0,276851-0.2768511542844426 · relativa 0.000001 · absoluta 2.5594624262841235e-7
  • #3 figura da resposta próxima: 0,2559460.25594624262841237 · relativa 0.000001 · absoluta 2.5594624262841235e-7

crb_papers.q116.script

Fonte
CausalReasoningBenchmark reference estimation script for index 116
Tipo
software
Localização
solutions/research_papers/RDD/schickler_etal_2009a/question_1/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 979 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
3316ace6a4e3c540eed1d8565f4b8318bcb637ce087eb2519f5b21b648cfe83d (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/schickler_etal_2009a/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
    -1.000252171 in [-0.7785057898, 0.2248034813]?
    obrigatóriafalhou[-0.7785057898361308,0.2248034812672456]-1,00025-1.00025217094351interval · [-0.7785057898361308, 0.2248034812672456]—call_fbd756e6
    2figura da resposta próxima
    -1.000252171 vs -0.2768511542844426
    registradafalhou-0,276851-0.2768511542844426-1,00025-1.00025217094351relativa 0.000001 · absoluta 2.5594624262841235e-7crb_papers.q116.goldcall_fbd756e6
    3figura da resposta próxima
    0.2850601127 vs 0.25594624262841237
    registradafalhou0,2559460.255946242628412370,285060.2850601127045052relativa 0.000001 · absoluta 2.5594624262841235e-7crb_papers.q116.goldcall_fbd756e6

    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 districts with elections decided around the 50% Democratic vote-share threshold, what is the effect of electing a Democrat (versus a Republican) on the representative's likelihood of signing civil-rights discharge petitions in the 73rd Congress?

      ds_0081 (agent)

      | Variable Name | Description | | --- | --- | | Unnamed: 0 | Row index from the source CSV export. | | petpooled | Indicator (0/1) for whether the House member signed any of the pro–civil-rights discharge petition(s) included in this file for the 73rd Congress (Congress years 1933–1934). Coded 1 if the member signed at least one such petition; 0 otherwise. | | Dvotespercent | Democratic candidate’s two-party vote share in the immediately preceding U.S. House election for the seat (for the 73rd Congress, the 1932 House election). Stored as a proportion on \[0, 1\]. | | icpsr | ICPSR numeric identifier for the U.S. House member. | Dataset Context: This file is a member-level dataset constructed for the study of U.S. House civil-rights politics in the mid-20th century. It focuses on signatures on pro–civil-rights discharge petitions, an agenda-setting mechanism used to bring stalled bills to the floor. Each row represents a U.S. House member serving in the **73rd Congress (1933–1934)**, indicating whether the member signed the relevant pro–civil-rights discharge petition(s) covered by this file, along with linked electoral information from the prior House election and a standardized legislator identifier. Petition signatory data were transcribed from original House discharge petitions housed at the National Archives and compiled in prior research, then merged to district-level election returns (two-party vote shares; for this Congress, from the 1932 election) and legislator identifiers (ICPSR). The broader project from which this file is drawn assembles multiple indicators of members’ civil-rights-related legislative activity (including discharge petition signatures, floor speeches, and bill sponsorship) across many Congresses spanning 1933 to 1972; this particular file provides the 73rd-Congress member-level signature indicator and associated electoral context.

      file 5cdda493e5f58e4d5a9d7b4860a280b80a5a99faa2a933480b7d304e9dd7dc6e · frame —
    2. 1Turno do modelo
      call_8d45a34fnaive-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_0081",
          "x": [
            "Dvotespercent"
          ],
          "y": "petpooled"
        }
    3. 2Ferramenta
      infer.olsv0.1.0call_fbd756e6decidido pelo modeloreexecutável

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

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0081",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "Dvotespercent"
        ],
        "y": "petpooled"
      }
      Figuras call_fbd756e6
      ChaveValorValor brutoErro-padrãoIC
      coef.Dvotespercent
      Coefficient on Dvotespercent in the regression of petpooled
      -1,00025 -1.000252170943510,285060.2850601127045052-1,56153 – -0,438972
      Diagnósticos
      • n_obs = 266266
      • k = 22
      • r2 = 0,05405880.05405879151645754
      • df_resid = 264264
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 1.2802734091625907,
            "ci_low": 0.667792773543115,
            "coef": 0.9740330913528529,
            "p": 1.5279907595858188e-9,
            "se": 0.1555316383127618,
            "t": 6.262604200144472,
            "term": "Intercept"
          },
          {
            "ci_high": -0.43897151797462497,
            "ci_low": -1.561532823912395,
            "coef": -1.00025217094351,
            "p": 0.0005287833887452628,
            "se": 0.2850601127045052,
            "t": -3.50891663324492,
            "term": "Dvotespercent"
          }
        ]
      }
      • 41 rows were dropped because one of 'petpooled', 'Dvotespercent' was missing
      Digests dos dados
      ds_0081 47ba1f4aee9818b9fc74de07acd75130a813004d3a1333f72fa83e5b9e52156e
      sha256 do resultado
      f2666de70c0c121b0e4f18a079f27d4ca1b013f5542a6d9cd421444eafdd0b2a
    4. 3Turno do modelo
      call_6884a56enaive-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 = -1,000.",
          "caveats": [],
          "figure_refs": [
            "call_fbd756e6:coef.Dvotespercent"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      -1,000
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.Dvotespercent = -1,000.

      Figuras citadas: call_fbd756e6:coef.Dvotespercent · Parada: answered
      Figura da resposta: call_fbd756e6:coef.Dvotespercent = -1,00025-1.00025217094351 (se 0,285060.2850601127045052)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximafalhouobrigatória-1.000252171 in [-0.7785057898, 0.2248034813]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada-1.000252171 vs -0.2768511542844426
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.2850601127 vs 0.25594624262841237

    Épocas × verificações

    Resultado de cada verificação em cada época pontuada
    #0123
    Época 1passoufalhoufalhoufalhou

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