Tarefa causcibench_real.q079
causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171059Z-suite-causcibench_real-scripted-ded01dVeredito
0.006643934363 vs -0.021Família do método (das chamadas de ferramentas): Variáveis instrumentais por mínimos quadrados em dois estágios (MQ2E) · infer.iv_2sls (iv · mínimos quadrados em dois estágios)
coef.contacted_4weeks =0,006643930.006643934362992571coef.contacted_4weeks =-0,021-0.021Pergunta feita ao analista
Among low-propensity voters, defined as those with a voting propensity of at most 0.68, what is the effect of receiving a get-out-the-vote phone call four weeks prior to the election on turnout?
Estimativa (infer.iv_2sls): coef.contacted_4weeks = 0,006644.
Como o agente resolveu e como foi validado
Resumo passo a passo do que o agente executou, por que o caminho está correto e como cada verificação conferiu o resultado.
- 1Preparação da base de dados
panagopoulos_timing— The dataset consists of 25,000 registered voters in Rochester, New York, who were part of a randomized field experiment during the November 2005 municipal elections. Voters were randomly assigned to one of four groups: a phone reminder call scheduled for 4 weeks before Election Day, 2 weeks before, 3 days before, or a control group that received no call. The calls were nonpartisan get-out-the-vote reminders, delivered using standardized scripts. The unit of observation is the individual registered voter, and only those appearing on the official registration list were included. The main outcome is voter turnout in the 2005 election, while additional measures capture past voting history, party registration, demographics, and a predicted propensity to vote. The dataset also records whether each assigned reminder call was actually completed, allowing for comparison between group assignment and the reality of who was contacted. Data variables: vtr_gen01: Voted (2001) vtr_gen03: Voted (2003) vtr_gen05: Outcome: Voted 2005 treated: Successfully contacted four_weeks: Experimental group: Called 4 weeks before election two_weeks: Experimental group: Called 2 weeks before election three_days: Experimental group: Called 3 days before election control: Experimental group: Control, i.e., did not receive any calls democrat: Registered Democrat republican: Registered Republican unenrolled: Unaffiliated other_party: Other party registration age: Age (years) age_squared: Age squared contacted_4weeks: Successfully contacted: 4 weeks contacted_2weeks: Successfully contacted: 2 weeks contacted_3days: Successfully contacted: 3 days vote_prop: Predicted vote propensity use: Subject included id: Subject ID - 2Chamada que gerou a resposta finalVer chamada call_46ce90b2 nos detalhes
infer.iv_2sls(Variáveis instrumentais por mínimos quadrados em dois estágios (MQ2E))citada na respostacoincide com a referênciacauscibench_metadata_rule/1: iv
Por que este é o caminho de referência: causcibench_metadata_rule/1: ivArgumentos principais- dataset:
"panagopoulos_timing"- endog:
["contacted_4weeks"]- exog:
["democrat","republican","unenrolled","other_party","age","age_squared","vtr_gen01","vtr_gen03"]- instruments:
["four_weeks"]- level:
- 0,95
0.95 - se:
"HC1"- y:
"vtr_gen05"
Resultado calculadocoef.contacted_4weeks= 0,006643930.0066439343629925712SLS effect of contacted_4weeks on vtr_gen05
Diagnósticos:first_stage_F.contacted_4weeks= 5.499,415499.407794142408(Wald F of the excluded instruments in the first stage for contacted_4weeks (heteroskedasticity-robust standard errors (HC1))) ·partial_r2.contacted_4weeks= 0,7227830.722782547537601(share of the variation the instruments explain beyond the controls) ·weak_instrument=false(every first-stage F is at least 10) ·n_obs= 24.17124171·se_type="HC1"(heteroskedasticity-robust standard errors (HC1)) - 3Conferência de lastro e resposta final
Todos os 1 números escritos na resposta foram conferidos contra as ferramentas e o enunciado (nenhum número sem lastro).
Números encontrados:0,006644Figuras citadas:call_46ce90b2:coef.contacted_4weeks- #0resposta com lastroevery number in the answer was stated by a tool call
- #1figura da resposta próximaCauSciBench effect accuracy: |answer figure − gold| ≤ 5% of |gold|
Aprofundamento técnico para especialistas
Acesso direto às fontes primárias, tabela formal de verificações, comparação de argumentos, trajetória completa com prompts brutos e somas SHA-256.
Valores esperados e de onde vêm
causcibench_real.gold.q079
- Fonte
- CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 79
- Tipo
- benchmark_gold
- Localização
- real_input.json, record id 79: fields effect and std_error
- Trecho
id 79 effect -0.021 std_error 0.021
- Valor como publicado
-0.021- Erro-padrão como publicado
0.021- Valor
- -0,021
-0.021(se 0,0210.021) - 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: -0,021
-0.021· relativa 0.05
Especificação técnica do gabarito
CauSciBench real_input.json @ d9bb43a, id 79: effect -0.021
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number in the answer was stated by a tool call every number backed | obrigatória | passou | 0 sem lastro | 0 sem lastro[] | — | — | — |
| 1 | figura da resposta próxima CauSciBench effect accuracy: |answer figure − gold| ≤ 5% of |gold| 0.006643934363 vs -0.021 | obrigatória | falhou | -0,021-0.021 | 0,006643930.006643934362992571 | relativa 0.05 | causcibench_real.gold.q079 | call_46ce90b2 |
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 | "panagopoulos_timing" | "panagopoulos_timing" | igual |
| endog | ["contacted_4weeks"] | ["contacted_4weeks"] | igual |
| exog | ["democrat","republican","unenrolled","other_party","age","age_squared","vtr_gen01","vtr_gen03"] | ["democrat","republican","unenrolled","other_party","age","age_squared","vtr_gen01","vtr_gen03"] | igual |
| instruments | ["four_weeks"] | ["four_weeks"] | igual |
| level | — | 0,950.95 | não fixado pela referência |
| se | — | "HC1" | não fixado pela referência |
| subset | — | — | não fixado pela referência |
| y | "vtr_gen05" | "vtr_gen05" | igual |
Pendências do caminho de referência: needs_spec:sample, needs_spec:subgroup
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
Among low-propensity voters, defined as those with a voting propensity of at most 0.68, what is the effect of receiving a get-out-the-vote phone call four weeks prior to the election on turnout?
panagopoulos_timing(agent)The dataset consists of 25,000 registered voters in Rochester, New York, who were part of a randomized field experiment during the November 2005 municipal elections. Voters were randomly assigned to one of four groups: a phone reminder call scheduled for 4 weeks before Election Day, 2 weeks before, 3 days before, or a control group that received no call. The calls were nonpartisan get-out-the-vote reminders, delivered using standardized scripts. The unit of observation is the individual registered voter, and only those appearing on the official registration list were included. The main outcome is voter turnout in the 2005 election, while additional measures capture past voting history, party registration, demographics, and a predicted propensity to vote. The dataset also records whether each assigned reminder call was actually completed, allowing for comparison between group assignment and the reality of who was contacted. Data variables: vtr_gen01: Voted (2001) vtr_gen03: Voted (2003) vtr_gen05: Outcome: Voted 2005 treated: Successfully contacted four_weeks: Experimental group: Called 4 weeks before election two_weeks: Experimental group: Called 2 weeks before election three_days: Experimental group: Called 3 days before election control: Experimental group: Control, i.e., did not receive any calls democrat: Registered Democrat republican: Registered Republican unenrolled: Unaffiliated other_party: Other party registration age: Age (years) age_squared: Age squared contacted_4weeks: Successfully contacted: 4 weeks contacted_2weeks: Successfully contacted: 2 weeks contacted_3days: Successfully contacted: 3 days vote_prop: Predicted vote propensity use: Subject included id: Subject ID
file37ac4466ad26ac40012073e833298d7e3f2f8e8fbe8eb1fa90268ec2e1181ad7· frame — - 1Turno do modelo
call_10cff27dreferenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelcauscibench_metadata_rule/1: iv
Chamadas pedidasinfer.iv_2sls{ "dataset": "panagopoulos_timing", "endog": [ "contacted_4weeks" ], "exog": [ "democrat", "republican", "unenrolled", "other_party", "age", "age_squared", "vtr_gen01", "vtr_gen03" ], "instruments": [ "four_weeks" ], "y": "vtr_gen05" }
- 2Ferramenta
infer.iv_2sls— Variáveis instrumentais por mínimos quadrados em dois estágios (MQ2E)v0.1.0call_46ce90b2decidido pelo modeloreexecutávelMotivo: causcibench_metadata_rule/1: iv
Argumentos
{ "cluster": null, "dataset": "panagopoulos_timing", "endog": [ "contacted_4weeks" ], "exog": [ "democrat", "republican", "unenrolled", "other_party", "age", "age_squared", "vtr_gen01", "vtr_gen03" ], "instruments": [ "four_weeks" ], "level": 0.95, "se": "HC1", "subset": null, "y": "vtr_gen05" }Figuras call_46ce90b2 Chave Valor Valor bruto Erro-padrão IC coef.contacted_4weeks 2SLS effect of contacted_4weeks on vtr_gen050,00664393 0.0066439343629925710,0132133 0.013213288842595752-0,0192549 – 0,0325428 Diagnósticosfirst_stage_F.contacted_4weeks= 5.499,415499.407794142408(Wald F of the excluded instruments in the first stage for contacted_4weeks (heteroskedasticity-robust standard errors (HC1)))partial_r2.contacted_4weeks= 0,7227830.722782547537601(share of the variation the instruments explain beyond the controls)weak_instrument=false(every first-stage F is at least 10)n_obs= 24.17124171se_type="HC1"(heteroskedasticity-robust standard errors (HC1))n_clusters= — (errors not clustered)
Derivação matemática e pressupostos
coef.contacted_4weeks- Com um instrumento e um regressor endógeno, o MQ2E é a razão entre o coeficiente de four_weeks na forma reduzida (vtr_gen05 sobre four_weeks e os controles) e no primeiro estágio (contacted_4weeks sobre four_weeks e os controles).
β = ρ / π→ 0,00664393 (0.006643934362992571) - Erro-padrão robusto à heterocedasticidade (HC1): a raiz da variância estimada do coeficiente.
ep = √V_jj→ 0,0132133 (0.013213288842595752) - Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 24161 graus de liberdade vezes o erro-padrão.
IC = β ± c · ep
Pressupostos do estimador- the instruments affect the outcome only through the endogenous regressors (exclusion restriction)
- the instruments are as good as randomly assigned given the controls
- errors are independent across observations; their variance may differ
Tabelas (3)
{ "coefficients": [ { "ci_high": 0.027872443677130012, "ci_low": -0.04115845159245117, "coef": -0.00664300395766058, "p": 0.7059965609120944, "se": 0.017609363656386618, "t": -0.3772427037845445, "term": "Intercept" }, { "ci_high": 0.048833565842174145, "ci_low": -0.011983943758936806, "coef": 0.01842481104161867, "p": 0.2349983315768399, "se": 0.015514178674047566, "t": 1.187611115530084, "term": "democrat" }, { "ci_high": 0.011434537536520299, "ci_low": -0.05020709231399498, "coef": -0.019386277388737338, "p": 0.21763322717590783, "se": 0.015724406762669032, "t": -1.2328781416900174, "term": "republican" }, { "ci_high": -0.00027646047903795434, "ci_low": -0.06230406495382598, "coef": -0.03129026271643197, "p": 0.047992603691157876, "se": 0.0158228665536715, "t": -1.9775343873560922, "term": "unenrolled" }, { "ci_high": 0.026128104977695507, "ci_low": -0.045517316663666235, "coef": -0.009694605842985362, "p": 0.5958072944833109, "se": 0.018276313512535808, "t": -0.5304464621016589, "term": "other_party" }, { "ci_high": 0.005053852839255821, "ci_low": 0.0036570374163414745, "coef": 0.004355445127798648, "p": 2.941922814542331e-34, "se": 0.00035631916183168804, "t": 12.223437845467313, "term": "age" }, { "ci_high": -0.000016496533777673516, "ci_low": -0.00002494900480483445, "coef": -0.000020722769291253983, "p": 7.8688979403636335e-22, "se": 0.000002156174210563032, "t": -9.610897482092941, "term": "age_squared" }, { "ci_high": 0.30514576659555614, "ci_low": 0.27572806354808443, "coef": 0.2904369150718203, "p": 0, "se": 0.007504278031966839, "t": 38.70284574140412, "term": "vtr_gen01" }, { "ci_high": 0.3543533597286071, "ci_low": 0.3252583311200153, "coef": 0.3398058454243112, "p": 0, "se": 0.007421965735209465, "t": 45.78380681714655, "term": "vtr_gen03" }, { "ci_high": 0.032542802035281815, "ci_low": -0.019254933309296673, "coef": 0.006643934362992571, "p": 0.6150938991910406, "se": 0.013213288842595752, "t": 0.5028221544339879, "term": "contacted_4weeks" } ], "first_stage": [ { "ci_high": 0.7582130109020783, "ci_low": 0.7191645970289074, "coef": 0.7386888039654929, "endog": "contacted_4weeks", "instrument": "four_weeks", "p": 0, "se": 0.00996101408525058, "t": 74.1579921123975 } ], "reduced_form": [ { "ci_high": 0.024047353687358525, "ci_low": -0.014231753830910106, "coef": 0.0049077999282242084, "instrument": "four_weeks", "p": 0.6152481524341317, "se": 0.009764768689421126, "t": 0.5026027839800424 } ] }- 829 rows were dropped because one of 'vtr_gen05', 'contacted_4weeks', 'four_weeks', 'democrat', 'republican', 'unenrolled', 'other_party', 'age', 'age_squared', 'vtr_gen01', 'vtr_gen03' was missing
Hashes SHA-256 e metadados de reprodução
- Digests dos dados
panagopoulos_timinga9840be060a94f8bcf5d9657e12a817f7e5a23d132aea3f8161124cbc615d87e- sha256 do resultado
5bafe4a039fdd91f50782770b314cca7cdccb4911684fed1220f8a898661eec0
- 3Turno do modelo
call_dc0d7eaareferenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa (infer.iv_2sls): coef.contacted_4weeks = 0,006644.", "caveats": [], "figure_refs": [ "call_46ce90b2:coef.contacted_4weeks" ] }
- 4Guardaresposta aceita
- Números encontrados
- 0,006644
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa (infer.iv_2sls): coef.contacted_4weeks = 0,006644.
Figuras citadas:call_46ce90b2:coef.contacted_4weeks· Parada:answeredFigura da resposta:call_46ce90b2:coef.contacted_4weeks= 0,006643930.006643934362992571(se 0,01321330.013213288842595752) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximafalhouobrigatória
0.006643934363 vs -0.021
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
518963767ff21e9b6bd01ad18295aec45dc00b203f9aed1e6cd21a1bd930494eO 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.
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| native/causcibench_real/causcibench_real.q079.e1.a1.json | 2,0 KB | 94c4caf7f25146d0b994ca3f17598dff213114a7830fee631c5efa6b07fc9749 |
| sources/causcibench_real.gold.q079.json | 1,2 KB | 860984129a04617602df5e555fec0f40b4ca3e142f05bad03e27467255c99758 |
| specs/causcibench_real.q079.json | 6,5 KB | 3654519e32a31a2b76dedd70d16fe0dbd859b7f04eed5b518c2c2a327c4125a1 |
| traces/causcibench_real.q079.e1.a1.jsonl | 16,3 KB | 9fce7c8991465ad475d71ece547056dd0dd2996522aa9b9c2536d63831e3f73a |
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