Tarefa causcibench_real.q151
causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171059Z-suite-causcibench_real-scripted-ded01dVeredito
0.7646518739 vs 0.634Família 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?
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
- 0,634
0.634(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: 0,634
0.634· relativa 0.05
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number backed | obrigatória | passou | — | [] | — | — | — |
| 1 | figura da resposta próxima 0.7646518739 vs 0.634 | obrigatória | falhou | 0,6340.634 | 0,7646520.7646518738560152 | relativa 0.05 | causcibench_real.gold.q151 | call_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
| Argumento | Referência | Agente | |
|---|---|---|---|
| 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 | — | 0,950.95 | não 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.
- 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
file667bb93d31b83716ba58ff8d36588e0dd813470a04931c6359a8ee1b00d3d4f0· frame — - 1Turno do modelo
call_1aea76a6referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelcauscibench_metadata_rule/1: iv
Chamadas pedidasinfer.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" }
- 2Ferramenta
infer.iv_2slsv0.1.0call_e715aefddecidido pelo modeloreexecutávelMotivo: 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 Chave Valor Valor bruto Erro-padrão IC coef.budget 2SLS effect of budget on F1to5billbudgetdummy0,764652 0.76465187385601520,274077 0.274076634430461930,227392 – 1,30191 Diagnósticosfirst_stage_F.budget= 35,905435.90535017542439partial_r2.budget= 0,004096740.00409673990936732weak_instrument=falsen_obs= 8.1478147se_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_cabinets07239c56e4ad82cd189262eaf36350b339b83df4a4eea3c51ba6ba5423663916- sha256 do resultado
0ed0fe7927a08cd1824d4a52695dfcadd7f679e3fda0ed4f596ac8d25be8977c
- 3Turno do modelo
call_2f303a6dreferenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa (infer.iv_2sls): coef.budget = 0,7647.", "caveats": [], "figure_refs": [ "call_e715aefd:coef.budget" ] }
- 4Guardaresposta aceita
- Números encontrados
- 0,7647
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa (infer.iv_2sls): coef.budget = 0,7647.
Figuras citadas:call_e715aefd:coef.budget· Parada:answeredFigura da resposta:call_e715aefd:coef.budget= 0,7646520.7646518738560152(se 0,2740770.27407663443046193) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximafalhouobrigatória
0.7646518739 vs 0.634
Épocas × verificações
| # | 0 | 1 |
|---|---|---|
| Época 1 | passou | falhou |
Tentativas
Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.
- época 1, tentativa 1falhoupontuada(exibindo)
Downloads desta tarefa
fa7bd67cbddc3b39b0d73f8bb9fae052b162848391a8dfb507abf02a1e17b68eO 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.
| Arquivo | Tamanho | sha256 |
|---|---|---|
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| attachments/390fe8f88b620ae58ef76e4d2875be236533a3fdf0d03a8a92cb6a8823803ee6.json | 400 B | 390fe8f88b620ae58ef76e4d2875be236533a3fdf0d03a8a92cb6a8823803ee6 |
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| native/causcibench_real/causcibench_real.q151.e1.a1.json | 2,0 KB | 83ff85b1d0dece48caaf28871f13524d2793f680979dda1aadb3e272e817679b |
| sources/causcibench_real.gold.q151.json | 1,2 KB | c03353f6fab55308b3382c5fd537500e43a3bd118e587b334c9d2c38b749f170 |
| specs/causcibench_real.q151.json | 8,4 KB | a3f4d3138789ec746a7ec779a8e674f5683be51758d207adf595ec51ca9bc270 |
| traces/causcibench_real.q151.e1.a1.jsonl | 20,0 KB | d19d99ec15a5dd758d11c5e2cfb1bf8d2be14c6897c6f7023852e3665f37d0e3 |
| trajectories/causcibench_real.q151.e1.a1.jsonl | 15,8 KB | f169478f2a435e9e0914f4a3acb8f861fe4328c0e3f0ddf9321f641780010589 |