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Tarefa crb_papers.q111

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

Veredito

passouPassou em todas as verificações obrigatórias.

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

Pergunta feita ao analista

Among young Florida registrants near voting age during the 2008 election, what is the effect of being offered preregistration during the 2008 campaign (versus registering normally) on the probability of voting in 2012?

Resposta

Estimativa ingênua (infer.ols): coef.days_ratio_flipped = 0,01713.

Valores esperados e de onde vêm

crb_papers.q111.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 111 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['111'].effect and .standard_error
Trecho
index 111: effect 0.0290167, standard_error 0.00859724
Valor como publicado
0.029016665596441893
Erro-padrão como publicado
0.008597237671134418
Valor
0,02901670.029016665596441893 (se 0,008597240.008597237671134418)
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: 0,02901670.029016665596441893 · relativa 0.000001 · absoluta 8.597237671134418e-9
  • #3 figura da resposta próxima: 0,008597240.008597237671134418 · relativa 0.000001 · absoluta 8.597237671134418e-9

crb_papers.q111.script

Fonte
CausalReasoningBenchmark reference estimation script for index 111
Tipo
software
Localização
solutions/research_papers/RDD/holbein_hillygus_2016/question_1/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 1222 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
5c8f2afc721f30d49a8610ce5bda68579052b96419949aa7ad51941bee997c45 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/holbein_hillygus_2016/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
    0.01713346266 in [0.01216607976, 0.04586725143]?
    obrigatóriapassou[0.012166079761018436,0.04586725143186535]0,01713350.017133462663290154interval · [0.012166079761018436, 0.04586725143186535]—call_87f7768e
    2figura da resposta próxima
    0.01713346266 vs 0.029016665596441893
    registradafalhou0,02901670.0290166655964418930,01713350.017133462663290154relativa 0.000001 · absoluta 8.597237671134418e-9crb_papers.q111.goldcall_87f7768e
    3figura da resposta próxima
    0.002043756855 vs 0.008597237671134418
    registradafalhou0,008597240.0085972376711344180,002043760.002043756854771115relativa 0.000001 · absoluta 8.597237671134418e-9crb_papers.q111.goldcall_87f7768e

    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 young Florida registrants near voting age during the 2008 election, what is the effect of being offered preregistration during the 2008 campaign (versus registering normally) on the probability of voting in 2012?

      ds_0076 (agent)

      | Variable Name | Description | | --- | --- | | Unnamed: 0 | Row index from the CSV export; not a substantive data field. | | voted_2012 | Turnout indicator for the 2012 Florida general election from official vote history (1 = voted, 0 = did not vote). | | preregistered_2008 | Preregistration indicator based on Florida voter-file registration history for the cohort around the 2008 eligibility cutoff (1 = the registrant was added to the voter rolls via preregistration—i.e., registered before turning 18; 0 = registered through standard/regular registration after reaching voting age). | | days_ratio_flipped | Running variable measuring the registrant’s date-of-birth position relative to the November 4, 1990 cutoff. **days_ratio_flipped = 0 corresponds exactly to DOB = 1990-11-04**. Values < 0 indicate DOBs before 1990-11-04 (older; eligible by the cutoff), and values > 0 indicate DOBs after 1990-11-04 (younger; ineligible by the cutoff). (This variable is a scaled/normalized distance derived from full date of birth.) | Dataset Context: This file is a derived extract from Florida’s statewide voter registration database used in a study of youth political participation and preregistration. It contains individual-level records for registrants from a Florida voter-file snapshot obtained from the Florida Division of Elections (downloaded around May 2013). Each row represents a registrant and includes official vote history (e.g., whether the person voted in the 2012 general election), an indicator derived from registration history for whether the registrant entered the rolls via preregistration (registered before age 18), and a constructed date-of-birth proximity measure centered on a key birthdate cutoff. The analytic extract is restricted to young registrants born within a narrow window around **November 4, 1990**, which aligns with eligibility timing for the 2008 general election. Full dates of birth in the voter file are used to compute the distance-to-cutoff running variable (days_ratio_flipped), where 0 denotes an exact match to the cutoff date and the sign indicates whether the registrant was born before or after the cutoff. The resulting dataset provides a focused view of registration-mode differences (preregistration vs regular registration) and subsequent turnout behavior among adjacent birth cohorts near the 2008 eligibility threshold.

      file da42c6539d3e0e06d01efcb6a97f2a15419fd0f7a6c4f565560eee3dec0dcb5a · frame —
    2. 1Turno do modelo
      call_4662b09enaive-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_0076",
          "x": [
            "days_ratio_flipped"
          ],
          "y": "voted_2012"
        }
    3. 2Ferramenta
      infer.olsv0.1.0call_87f7768edecidido pelo modeloreexecutável

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

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0076",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "days_ratio_flipped"
        ],
        "y": "voted_2012"
      }
      Figuras call_87f7768e
      ChaveValorValor brutoErro-padrãoIC
      coef.days_ratio_flipped
      Coefficient on days_ratio_flipped in the regression of voted_2012
      0,0171335 0.0171334626632901540,002043760.0020437568547711150,0131277 – 0,0211392
      Diagnósticos
      • n_obs = 186.575186575
      • k = 22
      • r2 = 0,0003764980.0003764980535123641
      • df_resid = 186.573186573
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 0.5076182980676281,
            "ci_low": 0.5030608702915206,
            "coef": 0.5053395841795744,
            "p": 0,
            "se": 0.0011626229477738823,
            "t": 434.65474782444903,
            "term": "Intercept"
          },
          {
            "ci_high": 0.021139178478283616,
            "ci_low": 0.013127746848296692,
            "coef": 0.017133462663290154,
            "p": 5.1807716853846007e-17,
            "se": 0.002043756854771115,
            "t": 8.383317527861685,
            "term": "days_ratio_flipped"
          }
        ]
      }
      Digests dos dados
      ds_0076 ad89ae3bfe47c2867c42ba7fbc8d78c6f7f26425a6ac78d5c8265ad1c3e6c62a
      sha256 do resultado
      65839d66c35a44baaae68dfa5b9b66be5dcb001f3de809a17c854d6ae4c200e5
    4. 3Turno do modelo
      call_23de7b28naive-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.days_ratio_flipped = 0,01713.",
          "caveats": [],
          "figure_refs": [
            "call_87f7768e:coef.days_ratio_flipped"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      0,01713
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.days_ratio_flipped = 0,01713.

      Figuras citadas: call_87f7768e:coef.days_ratio_flipped · Parada: answered
      Figura da resposta: call_87f7768e:coef.days_ratio_flipped = 0,01713350.017133462663290154 (se 0,002043760.002043756854771115)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximapassouobrigatória0.01713346266 in [0.01216607976, 0.04586725143]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada0.01713346266 vs 0.029016665596441893
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.002043756855 vs 0.008597237671134418

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