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Tarefa causcibench_real.q151

causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171059Z-suite-causcibench_real-scripted-ded01d

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
0.7646518739 vs 0.634

Família do método (das chamadas de ferramentas): iv (two-stage least squares)

Pergunta feita ao analista

What is the effect of being appointed to the budget committee on the probability a deputy sponsors a budget amendment within the next five years?

Resposta

Estimativa (infer.iv_2sls): coef.budget = 0,7647.

Valores esperados e de onde vêm

causcibench_real.gold.q151

Fonte
CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 151
Tipo
benchmark_gold
Localização
real_input.json, record id 151: fields effect and std_error
Trecho
id 151 effect 0.634 std_error 0.246
Valor como publicado
0.634
Erro-padrão como publicado
0.246
Valor
0,6340.634 (se 0,2460.246)
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: 0,6340.634 · 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
0.7646518739 vs 0.634
obrigatóriafalhou0,6340.6340,7646520.7646518738560152relativa 0.05causcibench_real.gold.q151call_e715aefd

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 · metadata_rule

Referência: infer.iv_2slsChamada do agente: infer.iv_2sls (call_e715aefd)igual
Argumentos da referência e do agente
ArgumentoReferênciaAgente
cluster——não fixado pela referência
dataset"cirone_cabinets""cirone_cabinets"igual
endog["budget"]["budget"]igual
exog["age","age2","inscrits","inscrits2","permargin","permargin2","cummyears","cummyears2","proprietaire","lib_all","civil","paris","budgetincumbent"]["age","age2","inscrits","inscrits2","permargin","permargin2","cummyears","cummyears2","proprietaire","lib_all","civil","paris","budgetincumbent"]igual
instruments["bureauotherbudgetincumbent"]["bureauotherbudgetincumbent"]igual
level—0,950.95não fixado pela referência
se—"HC1"não fixado pela referência
subset——não fixado pela referência
y"F1to5billbudgetdummy""F1to5billbudgetdummy"igual

Trajetória

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

  1. 0Início

    What is the effect of being appointed to the budget committee on the probability a deputy sponsors a budget amendment within the next five years?

    cirone_cabinets (agent)

    The dataset comes from French parliamentary records across multiple legislative sessions. It is structured by deputy-year, and includes variables for legislative behavior, career success, policy-making, tenure, and constituent characteristics. An interesting feature of the lower house was that the legislature was randomly assigned into 11 groups called bureaux, and each group chose members to serve on the budget committee. The deputies convened with their assigned group, and after hours of discussion, each bureau nominated three representatives to serve on the budget committee. Bureaux was a temporary committee, and the selection was done every year. This random selection of bureaux (or bureau) for budget selection was done from 1894 to 1910, after which it was disbanded. Variable description: id: ID number (Unique identifier for each deputy) year: Year (1894-1909) term: Term (1893, 1898, 1902, or 1906) leader: Deputy was any type of party leader (defined as a member of a parliamentary governing committee) (1 = yes, 0 = no) centrist_all: Deputy was a member of a Radical or Radical-Socialist party (1 = Radical socialist, 0 = radical party) inscrits: Number of electors in deputy's district (in 000s) permargin: Electoral margin of prior election, as a ratio of total votes cast paris: Whether the deputy represents a Parisian district or suburb (1 = Parisian district, 0 = suburb) age: Age of deputy bureau: Deputy's bureau number (assignment) for that year budget: Deputy was on the budget committee (1 = yes, 0 = no) min: Deputy was a minister (1 = yes, 0 = no) termyear: Identifier for term + year budgettermyears: Number of years a deputy has served on the budget committee, including the current year budgetexptermyears: Budget experience in years proprietaire: Deputy was a property owner (upper class) (1 = yes, 0 = no) lib_all: Deputy held a liberal profession (middle class) (1 = yes, 0 = no) civil: Deputy was a civil servant (1 = yes, 0 = no) reelect: Deputy was reelected the next term (1 = yes, 0 = no) F1to5firstminyear: Became a minister for the first time within 5 years (1 = yes, 0 = no) F1to5firstleaderyear: Became a party leader within 5 years (1 = yes, 0 = no) cummyears: Years of parliamentary experience clburyear: Identifier for term year + bureau budgetincumbent: Deputy was a budget incumbent (1 = yes, 0 = no) bureauotherbudgetincumbent: Number of budget incumbents in deputy's bureau (excluding deputy) reelectterm: Deputy was reelected the next term (1 = yes, 0 = no) reelecttwoterm: Deputy was reelected within the next two terms (1 = yes, 0 = no) senate: Deputy was a senator (1 = yes, 0 = no) rannext: Deputy ran for reelection in the subsequent term (1 = yes, 0 = no) F1to5senateyear: Became a senator within 5 years (1 = yes, 0 = no) F1to5billdummy: Sponsored a bill within 5 years (1 = yes, 0 = no) F1to5billfinancedummy: Sponsored a finance bill within 5 years (1 = yes, 0 = no) F1to5billecondummy: Sponsored an econ bill within 5 years (1 = yes, 0 = no) F1to5billwelfaredummy: Sponsored a welfare bill within 5 years (1 = yes, 0 = no) F1to5billbudgetdummy: Sponsored a budget bill within 5 years (1 = yes, 0 = no) F1to5billagendadummy: Sponsored an agenda bill within 5 years (1 = yes, 0 = no) F1to5billinterpdummy: Sponsored an interpellation bill within 5 years (1 = yes, 0 = no) F1to5cosponsordummy: Cosponsored a budget bill within 5 years (1 = yes, 0 = no) F1to5cosponsordummy_anybm: Co-sponsored with current or previous budget committee member within 5 years (1 = yes, 0 = no) cummyears2: Years of parliamentary experience squared age2: Age, squared inscrits2: Electors, squared permargin2: Electoral Margin of Prior Election, squared deptcode: Department ID

    file 667bb93d31b83716ba58ff8d36588e0dd813470a04931c6359a8ee1b00d3d4f0 · frame —
  2. 1Turno do modelo
    call_1aea76a6referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Texto visível

    causcibench_metadata_rule/1: iv

    Chamadas pedidas
    • infer.iv_2sls
      {
        "dataset": "cirone_cabinets",
        "endog": [
          "budget"
        ],
        "exog": [
          "age",
          "age2",
          "inscrits",
          "inscrits2",
          "permargin",
          "permargin2",
          "cummyears",
          "cummyears2",
          "proprietaire",
          "lib_all",
          "civil",
          "paris",
          "budgetincumbent"
        ],
        "instruments": [
          "bureauotherbudgetincumbent"
        ],
        "y": "F1to5billbudgetdummy"
      }
  3. 2Ferramenta
    infer.iv_2slsv0.1.0call_e715aefddecidido pelo modeloreexecutável

    Motivo: causcibench_metadata_rule/1: iv

    Argumentos
    {
      "cluster": null,
      "dataset": "cirone_cabinets",
      "endog": [
        "budget"
      ],
      "exog": [
        "age",
        "age2",
        "inscrits",
        "inscrits2",
        "permargin",
        "permargin2",
        "cummyears",
        "cummyears2",
        "proprietaire",
        "lib_all",
        "civil",
        "paris",
        "budgetincumbent"
      ],
      "instruments": [
        "bureauotherbudgetincumbent"
      ],
      "level": 0.95,
      "se": "HC1",
      "subset": null,
      "y": "F1to5billbudgetdummy"
    }
    Figuras call_e715aefd
    ChaveValorValor brutoErro-padrãoIC
    coef.budget
    2SLS effect of budget on F1to5billbudgetdummy
    0,764652 0.76465187385601520,2740770.274076634430461930,227392 – 1,30191
    Diagnósticos
    • first_stage_F.budget = 35,905435.90535017542439
    • partial_r2.budget = 0,004096740.00409673990936732
    • weak_instrument = false
    • n_obs = 8.1478147
    • se_type = "HC1"
    • n_clusters = —
    Tabelas (3)
    {
      "coefficients": [
        {
          "ci_high": 0.5301928374788256,
          "ci_low": 0.24049901497350326,
          "coef": 0.3853459262261644,
          "p": 1.8834555078482594e-7,
          "se": 0.07389184366353421,
          "t": 5.21499947925015,
          "term": "Intercept"
        },
        {
          "ci_high": -0.004072822921585082,
          "ci_low": -0.014791410725115712,
          "coef": -0.009432116823350397,
          "p": 0.0005635116347978136,
          "se": 0.002733976884363141,
          "t": -3.449962169503689,
          "term": "age"
        },
        {
          "ci_high": 0.00012508366664915058,
          "ci_low": 0.000023489786713813796,
          "coef": 0.00007428672668148219,
          "p": 0.004158052314258131,
          "se": 0.00002591342483050653,
          "t": 2.866727465295451,
          "term": "age2"
        },
        {
          "ci_high": 0.004901478505797436,
          "ci_low": -0.0009882365373266176,
          "coef": 0.0019566209842354094,
          "p": 0.1928055342377487,
          "se": 0.0015022823042120362,
          "t": 1.3024322916868005,
          "term": "inscrits"
        },
        {
          "ci_high": -0.000005837237852138178,
          "ci_low": -0.00010113996011313755,
          "coef": -0.00005348859898263786,
          "p": 0.027807617745126453,
          "se": 0.000024308747052725323,
          "t": -2.2003848600926186,
          "term": "inscrits2"
        },
        {
          "ci_high": 0.0020797055005193354,
          "ci_low": -0.23111001361311367,
          "coef": -0.11451515405629717,
          "p": 0.05422784529363247,
          "se": 0.05947941215892326,
          "t": -1.9252906156894039,
          "term": "permargin"
        },
        {
          "ci_high": 0.22316568760124872,
          "ci_low": -0.027048033514039213,
          "coef": 0.09805882704360476,
          "p": 0.12446706749280505,
          "se": 0.06382170321489104,
          "t": 1.536449547788399,
          "term": "permargin2"
        },
        {
          "ci_high": -0.00010213776292028898,
          "ci_low": -0.008275875294356253,
          "coef": -0.004189006528638271,
          "p": 0.04454404934882963,
          "se": 0.002084865084786307,
          "t": -2.009245854423061,
          "term": "cummyears"
        },
        {
          "ci_high": 0.00021171446254653113,
          "ci_low": -0.000052909193387918585,
          "coef": 0.00007940263457930628,
          "p": 0.23947603787180682,
          "se": 0.00006749722739987658,
          "t": 1.176383647714861,
          "term": "cummyears2"
        },
        {
          "ci_high": -0.009009161112808323,
          "ci_low": -0.05265839923230825,
          "coef": -0.030833780172558285,
          "p": 0.005627908562787323,
          "se": 0.011133556978417135,
          "t": -2.7694455808086182,
          "term": "proprietaire"
        },
        {
          "ci_high": 0.007571555915300799,
          "ci_low": -0.02380644540981159,
          "coef": -0.008117444747255396,
          "p": 0.31050280901720634,
          "se": 0.008003547843505626,
          "t": -1.0142308018864648,
          "term": "lib_all"
        },
        {
          "ci_high": -0.006322840208903592,
          "ci_low": -0.05144081319725595,
          "coef": -0.02888182670307977,
          "p": 0.01210344183628775,
          "se": 0.011508185358041736,
          "t": -2.5096768781967533,
          "term": "civil"
        },
        {
          "ci_high": 0.13304655296464685,
          "ci_low": 0.05807163203718068,
          "coef": 0.09555909250091377,
          "p": 5.94808691818411e-7,
          "se": 0.01912376000270557,
          "t": 4.996877836126074,
          "term": "paris"
        },
        {
          "ci_high": -0.048242187935516406,
          "ci_low": -0.5051901336642154,
          "coef": -0.2767161607998659,
          "p": 0.01761186660497908,
          "se": 0.11655314523504484,
          "t": -2.374162964387028,
          "term": "budgetincumbent"
        },
        {
          "ci_high": 1.301912171819981,
          "ci_low": 0.22739157589204928,
          "coef": 0.7646518738560152,
          "p": 0.0052843814075133,
          "se": 0.27407663443046193,
          "t": 2.789919963243057,
          "term": "budget"
        }
      ],
      "first_stage": [
        {
          "ci_high": -0.005606901941287146,
          "ci_low": -0.01105896859161885,
          "coef": -0.008332935266452998,
          "endog": "budget",
          "instrument": "bureauotherbudgetincumbent",
          "p": 2.159583472752838e-9,
          "se": 0.0013906518719848688,
          "t": -5.992107323423404
        }
      ],
      "reduced_form": [
        {
          "ci_high": -0.002349428754431097,
          "ci_low": -0.01039416037799723,
          "coef": -0.006371794566214163,
          "instrument": "bureauotherbudgetincumbent",
          "p": 0.0019078870658030718,
          "se": 0.002051959708021448,
          "t": -3.1052240164881266
        }
      ]
    }
    Digests dos dados
    cirone_cabinets 07239c56e4ad82cd189262eaf36350b339b83df4a4eea3c51ba6ba5423663916
    sha256 do resultado
    0ed0fe7927a08cd1824d4a52695dfcadd7f679e3fda0ed4f596ac8d25be8977c
  4. 3Turno do modelo
    call_2f303a6dreferenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Chamadas pedidas
    • submit_answer (meta-ferramenta)
      {
        "answer": "Estimativa (infer.iv_2sls): coef.budget = 0,7647.",
        "caveats": [],
        "figure_refs": [
          "call_e715aefd:coef.budget"
        ]
      }
  5. 4Guarda
    resposta aceita
    Números encontrados
    0,7647
    Sem lastro
    —
    Não citados
    —
    1 nova(s) tentativa(s) restante(s)
  6. 5Resposta

    Estimativa (infer.iv_2sls): coef.budget = 0,7647.

    Figuras citadas: call_e715aefd:coef.budget · Parada: answered
    Figura da resposta: call_e715aefd:coef.budget = 0,7646520.7646518738560152 (se 0,2740770.27407663443046193)
  7. 6Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
  8. 7Pontuação
    #1figura da resposta próximafalhouobrigatória0.7646518739 vs 0.634

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.

Downloads desta tarefa

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