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Tarefa qrdata_socsci.399

qrdata_socsciagentT2publicépoca 1, tentativa 1Execução: 20261015T170010Z-suite-qrdata_socsci-scripted-7912b3

Veredito

passouPassou em todas as verificações obrigatórias.

Família do método (das chamadas de ferramentas): did (OLS on the interaction of a group indicator and a period indicator (2x2 difference in differences))

Pergunta feita ao analista

What is the difference in the average causal effect of the Neighbors message on whether the voter voted in the 2006 primary election between those who voted in the 2004 primary election and those who did not? Please round the result to the nearest thousandth.

Resposta

Estimativa (infer.ols): coef.neighbors_x_primary2004 = 0,02723. Caminho de referência inferido à mão.

Valores esperados e de onde vêm

qrdata.gold.399

Fonte
QRData benchmark/QRData.json at de450af45ff7101b328bb064c6b475f73414a7ed (Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng. Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. Findings of the Association for Computational Linguistics: ACL 2024, pages 9215-9235.)
Tipo
benchmark_gold
Localização
QRData.json item 399 (0-based), field 'answer'
Trecho
item 399 answer 0.027
Valor
0,0270.027
Conferido por
arquivo do benchmark · The printed gold is in the excerpt and index.json. It has fewer than 3 significant digits, so it is not set as value_as_published: the isolation gate searches that field verbatim, and a string this short can occur anywhere in a prompt (the gate does not search such numbers either).
sha256 da cópia lida
e076d960f19434adf728aab70480ce34808c06066fcea48eaa38b145d1a111a1 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://raw.githubusercontent.com/xxxiaol/QRData/de450af45ff7101b328bb064c6b475f73414a7ed/benchmark/QRData.json
Licença
CC BY-NC 4.0
  • #1 figura da resposta próxima: [0.026189999999999998,0.02781] · interval · [0.026189999999999998, 0.02781] ()

qrdata.eval_py

Fonte
QRData benchmark/eval.py at de450af45ff7101b328bb064c6b475f73414a7ed (Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng. Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. Findings of the Association for Computational Linguistics: ACL 2024, pages 9215-9235.)
Tipo
software
Localização
benchmark/eval.py: extract_first_number, calc_acc
Valor
—
Conferido por
arquivo do benchmark · Vendored byte for byte as suites/data/qrdata_socsci/vendor/benchmark_eval.py.txt; a parity test runs its functions against MAGI's port and the answer_figure_close check.
Implementação
independente da ferramenta
sha256 da cópia lida
d6e5c1f7535ac9413951996c15544beb6f184244acb2da56e1fcd0942837e33d (identifica a cópia lida, não um arquivo canônico)
Endereço
https://raw.githubusercontent.com/xxxiaol/QRData/de450af45ff7101b328bb064c6b475f73414a7ed/benchmark/eval.py
Licença
CC BY-NC 4.0

    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
    0.027 in (0.02619, 0.02781)?
    obrigatóriapassou[0.026189999999999998,0.02781]0,0270.027interval · [0.026189999999999998, 0.02781] ()qrdata.gold.399call_3b28e335

    Caminho de referência e caminho do agente

    A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.

    caminho de referência do item · hand_inferred

    Referência: infer.olsChamada do agente: infer.ols (call_3b28e335)igual
    Argumentos da referência e do agente
    ArgumentoReferênciaAgente
    cluster——não fixado pela referência
    controls["neighbors","primary2004"]["neighbors","primary2004"]igual
    dataset"social_neighbors""social_neighbors"igual
    fe—[]não fixado pela referência
    intercept—truenão fixado pela referência
    level—0,950.95não fixado pela referência
    se—"HC1"não fixado pela referência
    subset——não fixado pela referência
    weights——não fixado pela referência
    x["neighbors_x_primary2004"]["neighbors_x_primary2004"]igual
    y"primary2006""primary2006"igual

    Trajetória

    Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.

    1. 0Início

      What is the difference in the average causal effect of the Neighbors message on whether the voter voted in the 2006 primary election between those who voted in the 2004 primary election and those who did not? Please round the result to the nearest thousandth.

      social (agent)

      Three social scientists conducted an RCT in which they investigated whether social pressure within neighborhoods increases participation. Specifically, during a primary election in the state of Michigan, they randomly assigned registered voters to receive different get-out-the-vote (GOTV) messages and examined whether sending postcards with these messages increased turnout. The researchers exploited the fact that the turnout of individual voters is public information in the United States. The GOTV message of particular interest was designed to induce social pressure by telling voters that after the election their neighbors would be informed about whether they voted in the election or not. The researchers hypothesized that such a namingand-shaming GOTV strategy would increase participation. There are three treatment groups: voters who receive either the social pressure message, the civic duty message, or the Hawthorne effect message. The Hawthorne effect refers to the phenomenon where study subjects behave differently because they know they are being observed by researchers. The experiment also has a control group which consists of those voters receiving no message. The researchers randomly assigned each voter to one of the four groups and examined whether the voter turnout was different across the groups. The data is in the file social.csv. Variable Description hhsize: household size of the voter messages: GOTV messages the voter received (Civic Duty, Control, Neighbors, Hawthorne) sex: sex of the voter (female or male) yearofbirth: year of birth of the voter primary2004: whether the voter voted in the 2004 primary election (1=voted, 0=abstained) primary2006: whether the voter turned out in the 2006 primary election (1=voted, 0=abstained)

      file 3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970 · frame —
      social_neighbors (reference)
      file 3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970 · frame —
      1. filter {"query":"messages in ['Neighbors', 'Control']"}
      2. derive {"args":{"cmp":"eq","column":"messages","value":"Neighbors"},"name":"neighbors","op":"indicator"}
      3. derive {"args":{"columns":["neighbors","primary2004"]},"name":"neighbors_x_primary2004","op":"interaction"}
    2. 1Transformação
      social_neighbors · filter {"query":"messages in ['Neighbors', 'Control']"}
      305866 → 229444 linhas
      Frame antes → depois: cbf1b6bbe517 → a47a1a859d3e
    3. 2Transformação
      social_neighbors · derive {"args":{"cmp":"eq","column":"messages","value":"Neighbors"},"name":"neighbors","op":"indicator"}
      229444 → 229444 linhas
      Frame antes → depois: a47a1a859d3e → 2040421ac698
    4. 3Transformação
      social_neighbors · derive {"args":{"columns":["neighbors","primary2004"]},"name":"neighbors_x_primary2004","op":"interaction"}
      229444 → 229444 linhas
      Frame antes → depois: 2040421ac698 → 730e68d0092d
    5. 4Turno do modelo
      call_44397d39referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
      Texto visível

      Over the Neighbors and Control groups, the interaction of the Neighbors message with 2004 turnout: the Neighbors effect among 2004 voters minus the effect among 2004 abstainers.

      Chamadas pedidas
      • infer.ols
        {
          "controls": [
            "neighbors",
            "primary2004"
          ],
          "dataset": "social_neighbors",
          "x": [
            "neighbors_x_primary2004"
          ],
          "y": "primary2006"
        }
    6. 5Ferramenta
      infer.olsv0.1.0call_3b28e335decidido pelo modeloreexecutável

      Motivo: Over the Neighbors and Control groups, the interaction of the Neighbors message with 2004 turnout: the Neighbors effect among 2004 voters minus the effect among 2004 abstainers.

      Argumentos
      {
        "cluster": null,
        "controls": [
          "neighbors",
          "primary2004"
        ],
        "dataset": "social_neighbors",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "neighbors_x_primary2004"
        ],
        "y": "primary2006"
      }
      Figuras call_3b28e335
      ChaveValorValor brutoErro-padrãoIC
      coef.neighbors_x_primary2004
      Coefficient on neighbors_x_primary2004 in the regression of primary2006
      0,0272291 0.0272290789368479780,005488320.00548832063132514550,0164721 – 0,037986
      Diagnósticos
      • n_obs = 229.444229444
      • k = 44
      • r2 = 0,03077590.03077585240084424
      • df_resid = 229.440229440
      • se_type = "HC1"
      • n_clusters = —
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 0.2395714778936647,
            "ci_low": 0.23464831439974046,
            "coef": 0.23710989614670258,
            "p": 0,
            "se": 0.001255925507202688,
            "t": 188.79296167398925,
            "term": "Intercept"
          },
          {
            "ci_high": 0.03798604645607311,
            "ci_low": 0.016472111417622844,
            "coef": 0.027229078936847978,
            "p": 7.008118197841256e-7,
            "se": 0.0054883206313251455,
            "t": 4.961277003649395,
            "term": "neighbors_x_primary2004"
          },
          {
            "ci_high": 0.07578298844925509,
            "ci_low": 0.06280936079091425,
            "coef": 0.06929617462008467,
            "p": 2.9992603358974017e-97,
            "se": 0.0033096422487632316,
            "t": 20.937663170688527,
            "term": "neighbors"
          },
          {
            "ci_high": 0.15293170284357596,
            "ci_low": 0.14445844190750565,
            "coef": 0.1486950723755408,
            "p": 0,
            "se": 0.0021615744737967743,
            "t": 68.79016854522716,
            "term": "primary2004"
          }
        ]
      }
      Digests dos dados
      social_neighbors 730e68d0092da53417e6bc6f3cfcee61fbfea065f642be09ca39cc22dfcbaa37
      sha256 do resultado
      a977b9e3d9d89440efa28bb80e4040512f35b98a98bd5d75490ecd496b58f752
    7. 6Turno do modelo
      call_8b734afareferenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
      Chamadas pedidas
      • submit_answer (meta-ferramenta)
        {
          "answer": "Estimativa (infer.ols): coef.neighbors_x_primary2004 = 0,02723. Caminho de referência inferido à mão.",
          "caveats": [],
          "figure_refs": [
            "call_3b28e335:coef.neighbors_x_primary2004"
          ]
        }
    8. 7Guarda
      resposta aceita
      Números encontrados
      0,02723
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    9. 8Resposta

      Estimativa (infer.ols): coef.neighbors_x_primary2004 = 0,02723. Caminho de referência inferido à mão.

      Figuras citadas: call_3b28e335:coef.neighbors_x_primary2004 · Parada: answered
      Figura da resposta: call_3b28e335:coef.neighbors_x_primary2004 = 0,02722910.027229078936847978 (se 0,005488320.0054883206313251455)
    10. 9Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    11. 10Pontuação
      #1figura da resposta próximapassouobrigatória0.027 in (0.02619, 0.02781)?

    Épocas × verificações

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

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