Pular para o conteúdo

Tarefa crb_papers.q106

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

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
0.9071328513 in [17.18258418, 22.75958678]?

Família do método (das chamadas de ferramentas): Regressão linear por mínimos quadrados ordinários (MQO) · infer.ols (ols · regressão linear)

Calculado pelo agente
coef.rv =0,9071330.9071328513061394
Coefficient on rv in the regression of dv_money
via infer.ols (call_ff3779fe)
Valor esperado (gabarito)
coef.rv =[17.182584179417805,22.759586779777703]
Como foi validado
1 de 2 verificações obrigatórias aprovadas
interval · [17.182584179417805, 22.759586779777703]

Pergunta feita ao analista

What is the average effect of party incumbency on the Democratic Party's share of total campaign contributions in the subsequent election cycle among state legislative districts with very close prior elections?

Resposta

Estimativa ingênua (infer.ols): coef.rv = 0,9071.

Como o agente resolveu e como foi validado

Resumo passo a passo do que o agente executou, por que o caminho está correto e como cada verificação conferiu o resultado.

  1. 1Preparação da base de dados
    ds_0072— | Variable Name | Description | |---------------|------------------------------------------------------------------------------------------------------------------------------------------------------------| | (index) | Row identifier created during CSV export; no substantive meaning. | | dv_money | Democratic Party’s share of total campaign contributions in the same district in the subsequent election cycle (percentage points, 0–100); excludes candidate self-financing and party-committee funds, derived from FollowTheMoney records for state legislative general elections. | | rv | Democratic two-party vote-share margin in the referenced election (percentage points; Democratic share minus 50), where positive values indicate a Democratic advantage. | Data Description: This dataset records campaign finance surrounding U.S. state legislative elections. It is built by merging district-level general election returns with donation data maintained by the National Institute on Money in State Politics (FollowTheMoney) for 1990–2010. The merge uses state, chamber (upper/lower), year, and district number. Races in which a third-party candidate placed first or second were removed, and observations where the next cycle occurred under new district lines were excluded to maintain consistent district boundaries. Contributions are compiled at the district–election level and classified from individual and organizational donors as reported to state disclosure agencies. Candidate self-financing and party-committee funds are excluded, and monetary aggregates in the source study were adjusted to constant 1990 dollars using the CPI (the variable here is a percentage share). The column dv_money records the Democratic share of total contributions received in the next election cycle within the same district, while rv records the Democratic two-party vote-share margin from the referenced election, providing a measure of the party’s prior electoral standing in that district.
  2. 2Chamada que gerou a resposta finalinfer.ols(Regressão linear por mínimos quadrados ordinários (MQO))citada na resposta
    Ver chamada call_ff3779fe nos detalhes

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

    Argumentos principais
    dataset:
    "ds_0072"
    intercept:
    true
    level:
    0,950.95
    se:
    "HC1"
    x:
    ["rv"]
    y:
    "dv_money"
    Resultado calculado
    • coef.rv = 0,907133 0.9071328513061394
      Coefficient on rv in the regression of dv_money
    Diagnósticos: n_obs = 27.20327203 (observations used) · k = 22 (parameters estimated, fixed-effect dummies included) · r2 = 0,5196620.5196618869625949 · df_resid = 27.20127201 · se_type = "HC1" (heteroskedasticity-robust standard errors (HC1))
  3. 3Conferência de lastro e resposta final

    Todos os 1 números escritos na resposta foram conferidos contra as ferramentas e o enunciado (nenhum número sem lastro).

    Números encontrados: 0,9071
    Figuras citadas: call_ff3779fe:coef.rv
    • #0resposta com lastro
      every number traced to a tool call or the question
    • #1figura da resposta próxima
      CRB estimate_within_solution_ci: the answer figure inside the gold 95% interval effect ± 1.96·|SE| of source crb_papers.q106.gold (closed, evaluate_result.py; no --auto-rescale)
    • #2figura da resposta próxima
      replication cell: the gold effect to rel 1e-6 (abs floor 1e-6·SE); never required
    • #3figura da resposta próxima
      replication cell: the gold SE to rel 1e-6; never required

Aprofundamento técnico para especialistas

Acesso direto às fontes primárias, tabela formal de verificações, comparação de argumentos, trajetória completa com prompts brutos e somas SHA-256.

Valores esperados e de onde vêm

crb_papers.q106.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 106 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['106'].effect and .standard_error
Trecho
index 106: effect 19.9711, standard_error 1.4227
Valor como publicado
19.971085479597754
Erro-padrão como publicado
1.42270474498977
Valor
19,971119.971085479597754 (se 1,42271.42270474498977)
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: 19,971119.971085479597754 · relativa 0.000001 · absoluta 0.00000142270474498977
  • #3 figura da resposta próxima: 1,42271.42270474498977 · relativa 0.000001 · absoluta 0.00000142270474498977

crb_papers.q106.script

Fonte
CausalReasoningBenchmark reference estimation script for index 106
Tipo
software
Localização
solutions/research_papers/RDD/fouirnaies_hall_2014b/question_1/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 2374 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
bf30201b8e12347ef7185fea9337bf033023969bc2f142f50bc2dbcede0c904d (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/fouirnaies_hall_2014b/question_1/estimation.py
Licença
MIT
    Especificação técnica do gabarito

    CausalReasoningBenchmark gold at the pinned revision: causal_queries.json effect and standard_error (the value the item's estimation.py prints), scored as evaluate_result.py scores estimate_within_solution_ci

    Verificações

    Cada verificação, o que esperava, o que observou e a chamada que leu
    #VerificaçãoObrigatóriaResultadoEsperadoObservadoTolerânciaFonteChamada
    0
    resposta com lastro
    every number traced to a tool call or the question
    every number backed
    obrigatóriapassou0 sem lastro0 sem lastro[]———
    1
    figura da resposta próxima
    CRB estimate_within_solution_ci: the answer figure inside the gold 95% interval effect ± 1.96·|SE| of source crb_papers.q106.gold (closed, evaluate_result.py; no --auto-rescale)
    0.9071328513 in [17.18258418, 22.75958678]?
    obrigatóriafalhou[17.182584179417805,22.759586779777703]0,9071330.9071328513061394interval · [17.182584179417805, 22.759586779777703]—call_ff3779fe
    2
    figura da resposta próxima
    replication cell: the gold effect to rel 1e-6 (abs floor 1e-6·SE); never required
    0.9071328513 vs 19.971085479597754
    registradafalhou19,971119.9710854795977540,9071330.9071328513061394relativa 0.000001 · absoluta 0.00000142270474498977crb_papers.q106.goldcall_ff3779fe
    3
    figura da resposta próxima
    replication cell: the gold SE to rel 1e-6; never required
    0.004745346354 vs 1.42270474498977
    registradafalhou1,42271.422704744989770,004745350.00474534635436816relativa 0.000001 · absoluta 0.00000142270474498977crb_papers.q106.goldcall_ff3779fe

    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 average effect of party incumbency on the Democratic Party's share of total campaign contributions in the subsequent election cycle among state legislative districts with very close prior elections?

      ds_0072 (agent)

      | Variable Name | Description | |---------------|------------------------------------------------------------------------------------------------------------------------------------------------------------| | (index) | Row identifier created during CSV export; no substantive meaning. | | dv_money | Democratic Party’s share of total campaign contributions in the same district in the subsequent election cycle (percentage points, 0–100); excludes candidate self-financing and party-committee funds, derived from FollowTheMoney records for state legislative general elections. | | rv | Democratic two-party vote-share margin in the referenced election (percentage points; Democratic share minus 50), where positive values indicate a Democratic advantage. | Data Description: This dataset records campaign finance surrounding U.S. state legislative elections. It is built by merging district-level general election returns with donation data maintained by the National Institute on Money in State Politics (FollowTheMoney) for 1990–2010. The merge uses state, chamber (upper/lower), year, and district number. Races in which a third-party candidate placed first or second were removed, and observations where the next cycle occurred under new district lines were excluded to maintain consistent district boundaries. Contributions are compiled at the district–election level and classified from individual and organizational donors as reported to state disclosure agencies. Candidate self-financing and party-committee funds are excluded, and monetary aggregates in the source study were adjusted to constant 1990 dollars using the CPI (the variable here is a percentage share). The column dv_money records the Democratic share of total contributions received in the next election cycle within the same district, while rv records the Democratic two-party vote-share margin from the referenced election, providing a measure of the party’s prior electoral standing in that district.

      file 9a673ada692580e12e745a742f61b8906d181a8534796a640daf8eef4aafa504 · frame —
    2. 1Turno do modelo
      call_db31b178naive-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_0072",
          "x": [
            "rv"
          ],
          "y": "dv_money"
        }
    3. 2Ferramenta
      infer.ols— Regressão linear por mínimos quadrados ordinários (MQO)v0.1.0call_ff3779fedecidido pelo modeloreexecutável

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

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0072",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "rv"
        ],
        "y": "dv_money"
      }
      Figuras call_ff3779fe
      ChaveValorValor brutoErro-padrãoIC
      coef.rv
      Coefficient on rv in the regression of dv_money
      0,9071330.90713285130613940,004745350.004745346354368160,897832 – 0,916434
      Diagnósticos
      • n_obs = 27.20327203 (observations used)
      • k = 22 (parameters estimated, fixed-effect dummies included)
      • r2 = 0,5196620.5196618869625949
      • df_resid = 27.20127201
      • se_type = "HC1" (heteroskedasticity-robust standard errors (HC1))
      • n_clusters = — (errors not clustered)
      Derivação matemática e pressupostos
      coef.rv
      1. Coeficiente de rv na regressão por mínimos quadrados ordinários de dv_money.→ 0,907133 (0.9071328513061394)
      2. Erro-padrão robusto à heterocedasticidade (HC1): a raiz da variância estimada do coeficiente.ep = √V_jj→ 0,00474535 (0.00474534635436816)
      3. Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 27201 graus de liberdade vezes o erro-padrão.IC = β ± c · ep
      Pressupostos do estimador
      • the conditional mean of the outcome is linear in the regressors
      • errors are independent across observations; their variance may differ
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 49.40314238802757,
            "ci_low": 48.75089915519103,
            "coef": 49.0770207716093,
            "p": 0,
            "se": 0.16638423335648103,
            "t": 294.96196713820206,
            "term": "Intercept"
          },
          {
            "ci_high": 0.9164339731271921,
            "ci_low": 0.8978317294850867,
            "coef": 0.9071328513061394,
            "p": 0,
            "se": 0.00474534635436816,
            "t": 191.1626219803978,
            "term": "rv"
          }
        ]
      }
      • 5467 rows were dropped because one of 'dv_money', 'rv' was missing
      Hashes SHA-256 e metadados de reprodução
      Digests dos dados
      ds_0072 ba45942c1035889e069a08dd54f2d1ccad01beac12c0d1934e124053fa44abaf
      sha256 do resultado
      a016f5217a75db771f91dbc38c77235c98df7a78051e355a660af915b8bd11dc
    4. 3Turno do modelo
      call_3bc4ad59naive-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.rv = 0,9071.",
          "caveats": [],
          "figure_refs": [
            "call_ff3779fe:coef.rv"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      0,9071
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.rv = 0,9071.

      Figuras citadas: call_ff3779fe:coef.rv · Parada: answered
      Figura da resposta: call_ff3779fe:coef.rv = 0,9071330.9071328513061394 (se 0,004745350.00474534635436816)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximafalhouobrigatória0.9071328513 in [17.18258418, 22.75958678]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada0.9071328513 vs 19.971085479597754
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.004745346354 vs 1.42270474498977

    Épocas × verificações

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

    Tentativas

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

    Downloads desta tarefa

    Pacote da tarefa (.zip)
    101,4 KB · sha256 2a1dfbc63bdbb2db7b0101cbf01d2311a4cf870efd50c38f8897d3e44fbddcf3

    O hash de um zip é só de transporte: o que ancora a integridade é o RUN_SHA256SUMS que vai dentro dele, cópia exata do SHA256SUMS da execução.

    Downloads desta tarefa
    ArquivoTamanhosha256
    attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json2,4 KB433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420
    attachments/4dc69100efc573c9821512c4e680d498396c2d2520a89aa0d8b5ee84998b5d97.json235 B4dc69100efc573c9821512c4e680d498396c2d2520a89aa0d8b5ee84998b5d97
    attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json64,0 KB52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b
    attachments/6a1541ab42e40016d127cdc878448b6f30bf9ee464986f8fc7801419da919f00.json1,0 KB6a1541ab42e40016d127cdc878448b6f30bf9ee464986f8fc7801419da919f00
    attachments/8dd3827cfb0a373bd6eed3afb194ec45b5eb64f79f87d345315151e347122e6d.json223 B8dd3827cfb0a373bd6eed3afb194ec45b5eb64f79f87d345315151e347122e6d
    attachments/f95d6bec8d679f3e2f38c73fd25150287775f3138ee03e05d16deb3dfb3c6be9.json2,5 KBf95d6bec8d679f3e2f38c73fd25150287775f3138ee03e05d16deb3dfb3c6be9
    attachments/fd1fa75ce4f2f368363441bccbdc55de3a1e5828d07ffa2527b76fd54711525d.json927 Bfd1fa75ce4f2f368363441bccbdc55de3a1e5828d07ffa2527b76fd54711525d
    native/crb_papers/crb_papers.q106.e1.a1.json4,1 KB475e3203833bdc08f4815fe5d2496487c09a71913dc3c23fd3328bd772a82c83
    sources/crb_papers.q106.gold.json1,1 KB92ec6781e5a03c8c78d8855ab57af9a8b72676ae172d677b69737f285abcc8c1
    sources/crb_papers.q106.script.json1,1 KBd9c25ace1bc2718a0bb0a5c4bad2be2cad2c8b89942442cde806f6ff087a99de
    specs/crb_papers.q106.json6,3 KB194448099b5611983d1ac5a521c4c622e22fae83cb2950183ff00aa406696392
    traces/crb_papers.q106.e1.a1.jsonl13,2 KB5b658f9102207575eb97e976fbd00e55aba2e237e244bf4adab95211efdf0a1b
    trajectories/crb_papers.q106.e1.a1.jsonl11,9 KBc8fea3ee69fc14c74d2d8637aa7cea1e8a7f52d0eca469680be9e64e0a58f369