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Tarefa causcibench_real.q089

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

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
0.2815248252 vs 0.222

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

Pergunta feita ao analista

How does the local proportion of GP‑to‑specialist cancer referrals that breach the two‑week wait standard affect individuals' reported trust in the NHS on a 1–7 scale?

Resposta

Estimativa ingênua (infer.ols): coef.cancerDelay = 0,2815.

Valores esperados e de onde vêm

causcibench_real.gold.q089

Fonte
CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 89
Tipo
benchmark_gold
Localização
real_input.json, record id 89: fields effect and std_error
Trecho
id 89 effect 0.222 std_error 0.197
Valor como publicado
0.222
Erro-padrão como publicado
0.197
Valor
0,2220.222 (se 0,1970.197)
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: 0,2220.222 · 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
0.2815248252 vs 0.222
obrigatóriafalhou0,2220.2220,2815250.28152482522268996relativa 0.05causcibench_real.gold.q089call_2fc9014a

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

    How does the local proportion of GP‑to‑specialist cancer referrals that breach the two‑week wait standard affect individuals' reported trust in the NHS on a 1–7 scale?

    dorussen_the_influence (agent)

    This dataset contains individual-level survey responses from adults in England merged with local NHS performance measures on emergency and cancer referral waits covering July 2022 to July 2023. Each row corresponds to a respondent observation with institutional trust ratings, demographics, constituency-level context, and area-level waiting-time indicators linked via postcode outcodes to NHS Integrated Care Boards (ICBs) and ICB sub-units. Variable descriptions: id: Anonymous respondent identifier that uniquely indexes each survey record within the merged file trustGov: Self-reported trust in ""the Government in Westminster"" on a 1-7 scale where 1 = Not at all and 7 = Completely trustPM: Self-reported trust in the Prime Minister on the same 1-7 scale trustParl: Self-reported trust in the UK Parliament on the 1-7 scale trustMP: Self-reported trust in the respondent's local Member of Parliament on the 1-7 scale trustNHS: Self-reported trust in the National Health Service on the 1-7 scale trustPolice: Self-reported trust in the police on the 1-7 scale trustCourts: Self-reported trust in the courts on the 1-7 scale trustTradNews: Self-reported trust in news from traditional media on the 1-7 scale trustSocNews: Self-reported trust in news shared on social media on the 1-7 scale income: Personal annual income category with 14 brackets (under 5,000; 5,000-9,999; ...; 100,000+) emergencyDelay: Proportion of patients waiting more than 4 hours from decision to admit to admission across all A&E types in the respondent's ICB cancerDelay: Proportion of GP-to-specialist cancer referrals breaching the two-week wait standard in the respondent's ICB sub-unit over July 2022-June 2023 ethnicity: Indicator for membership in an ethnic minority group, derived from survey responses/profile variables london: Indicator for residence in the London region as defined in the nine-region classification used in the survey conVote19: Indicator for whether the respondent reported voting Conservative in the 2019 UK General Election women: Indicator for respondent's sex coded as female based on survey demographics higherEd: Indicator for completion of higher education as reported in the survey region: Categorical variable for the nine regions of England used to locate respondents conShare: Conservative Party vote share (%) in the respondent's parliamentary constituency at the 2019 General Election unemploymentRate: Constituency-level unemployment rate (%) matched to each respondent's parliamentary constituency age: Respondent age in years (real-valued), spanning 18-98 across waves W8: Respondent-level survey weight provided by the survey vendor for national representativeness across pooled monthly waves

    file 08184bd4fe64bbecf97d1896551a9f9adcb9b55fc6999acbcf130e7653e69ec9 · frame —
  2. 1Turno do modelo
    call_416922bfnaive-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": "dorussen_the_influence",
        "x": [
          "cancerDelay"
        ],
        "y": "trustNHS"
      }
  3. 2Ferramenta
    infer.olsv0.1.0call_2fc9014adecidido pelo modeloreexecutável

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

    Argumentos
    {
      "cluster": null,
      "controls": [],
      "dataset": "dorussen_the_influence",
      "fe": [],
      "intercept": true,
      "level": 0.95,
      "se": "HC1",
      "subset": null,
      "weights": null,
      "x": [
        "cancerDelay"
      ],
      "y": "trustNHS"
    }
    Figuras call_2fc9014a
    ChaveValorValor brutoErro-padrãoIC
    coef.cancerDelay
    Coefficient on cancerDelay in the regression of trustNHS
    0,281525 0.281524825222689960,1468840.146884354360049-0,00641505 – 0,569465
    Diagnósticos
    • n_obs = 6.7266726
    • k = 22
    • r2 = 0,0005301620.0005301615286864569
    • df_resid = 6.7246724
    • se_type = "HC1"
    • n_clusters = —
    Tabelas (1)
    {
      "coefficients": [
        {
          "ci_high": 4.979688662072992,
          "ci_low": 4.838968393518473,
          "coef": 4.909328527795733,
          "p": 0,
          "se": 0.0358922253567103,
          "t": 136.7797198141101,
          "term": "Intercept"
        },
        {
          "ci_high": 0.569464700593764,
          "ci_low": -0.0064150501483840605,
          "coef": 0.28152482522268996,
          "p": 0.05532568072379405,
          "se": 0.146884354360049,
          "t": 1.9166426979186948,
          "term": "cancerDelay"
        }
      ]
    }
    Digests dos dados
    dorussen_the_influence 378acc9f5ca587819e3eb096a0bb4b7fa1011f6549b89f0efef3a2e3dd31aa69
    sha256 do resultado
    7defc786f618f450481d001ea41a597acc7b41fd37f9cc6ef2931a6c6d46619e
  4. 3Turno do modelo
    call_0e31cee9naive-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.cancerDelay = 0,2815.",
        "caveats": [],
        "figure_refs": [
          "call_2fc9014a:coef.cancerDelay"
        ]
      }
  5. 4Guarda
    resposta aceita
    Números encontrados
    0,2815
    Sem lastro
    —
    Não citados
    —
    1 nova(s) tentativa(s) restante(s)
  6. 5Resposta

    Estimativa ingênua (infer.ols): coef.cancerDelay = 0,2815.

    Figuras citadas: call_2fc9014a:coef.cancerDelay · Parada: answered
    Figura da resposta: call_2fc9014a:coef.cancerDelay = 0,2815250.28152482522268996 (se 0,1468840.146884354360049)
  7. 6Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
  8. 7Pontuação
    #1figura da resposta próximafalhouobrigatória0.2815248252 vs 0.222

Épocas × verificações

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

Tentativas

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

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