Tarefa causcibench_real.q049
causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171059Z-suite-causcibench_real-scripted-ded01dVeredito
-3.351685774 vs -3.727Família do método (das chamadas de ferramentas): did (OLS with unit and time fixed effects; the regressor varies within unit)
Pergunta feita ao analista
What is the effect of Medicaid eligibility expansions on drug overdose mortality per 100,000 among adults aged 25–64 for the years 1999 and 2008?
Estimativa (infer.ols): coef.expansion = -3,352.
Valores esperados e de onde vêm
causcibench_real.gold.q049
- Fonte
- CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 49
- Tipo
- benchmark_gold
- Localização
- real_input.json, record id 49: fields effect and std_error
- Trecho
id 49 effect -3.727 std_error 0.982
- Valor como publicado
-3.727- Erro-padrão como publicado
0.982- Valor
- -3,727
-3.727(se 0,9820.982) - 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: -3,727
-3.727· 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 -3.351685774 vs -3.727 | obrigatória | falhou | -3,727-3.727 | -3,35169-3.351685773549289 | relativa 0.05 | causcibench_real.gold.q049 | call_f78e3277 |
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 |
| controls | ["unemp_rate","pov_rate"] | ["unemp_rate","pov_rate"] | igual |
| dataset | "venkatramani_early_medicaid" | "venkatramani_early_medicaid" | igual |
| fe | ["statefips","year"] | ["statefips","year"] | igual |
| intercept | — | true | não fixado pela referência |
| level | — | 0,950.95 | não fixado pela referência |
| se | — | "HC1" | não fixado pela referência |
| subset | — | — | não fixado pela referência |
| weights | — | — | não fixado pela referência |
| x | ["expansion"] | ["expansion"] | igual |
| y | "ageadjust_drugod" | "ageadjust_drugod" | igual |
Pendências do caminho de referência: needs_spec:sample
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
What is the effect of Medicaid eligibility expansions on drug overdose mortality per 100,000 among adults aged 25–64 for the years 1999 and 2008?
venkatramani_early_medicaid(agent)This dataset links state-year mortality from drug overdoses to population denominators and state socioeconomic and policy measures to study patterns in overdose deaths before and after early coverage changes. The unit of observation is the state-year, with deaths aggregated at the state level and mortality rates constructed per 100,000 population. Crude and age-adjusted overdose rates are provided alongside population counts to support rate construction and standardization. Geographic identifiers use state FIPS codes, and monetary and policy variables capture contemporaneous state conditions. Variables include: year: Calendar year of observation for the state-year record deaths_drugod: Count of deaths attributed to drug overdose in the state-year crude_drugod: Crude drug overdose mortality rate per 100,000 population in the state-year ageadjust_drugod: Age-adjusted drug overdose mortality rate per 100,000 population in the state-year statefips: Two-digit FIPS code identifying the state pop: State population count used as the denominator for rate calculations in the corresponding year unemp_rate: State unemployment rate (percent) in the corresponding year welf_fs_4p_benefit: Benefit level for a four-person household under state welfare/food assistance programs in the corresponding year ssi_total: Aggregate Supplemental Security Income (SSI) disbursements or caseload-related total at the state-year level pov_rate: State poverty rate (percent) in the corresponding year state_min_wage: State minimum wage level in dollars in the corresponding year expansion: Indicator equal to 1 in state-years after implementation of an early eligibility expansion for low-income adults, and 0 otherwise exp_st: Indicator equal to 1 for states that undertook an early eligibility expansion neighbor_st: Indicator equal to 1 for states that share a land border with an early expansion state
filedee9b05cee4a75414abe6d4bad0127a61bc4480035d05324d4d3fb3cdcbb1039· frame — - 1Turno do modelo
call_7c0b99d5referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelcauscibench_metadata_rule/1: did
Chamadas pedidasinfer.ols{ "controls": [ "unemp_rate", "pov_rate" ], "dataset": "venkatramani_early_medicaid", "fe": [ "statefips", "year" ], "x": [ "expansion" ], "y": "ageadjust_drugod" }
- 2Ferramenta
infer.olsv0.1.0call_f78e3277decidido pelo modeloreexecutávelMotivo: causcibench_metadata_rule/1: did
Argumentos
{ "cluster": null, "controls": [ "unemp_rate", "pov_rate" ], "dataset": "venkatramani_early_medicaid", "fe": [ "statefips", "year" ], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "expansion" ], "y": "ageadjust_drugod" }Figuras call_f78e3277 Chave Valor Valor bruto Erro-padrão IC coef.expansion Coefficient on expansion in the regression of ageadjust_drugod-3,35169 -3.3516857735492891,15058 1.1505838418721415-5,60847 – -1,0949 Diagnósticosn_obs= 1.7131713k= 8787r2= 0,9119240.9119237637324413df_resid= 1.6261626se_type="HC1"n_clusters= —fixed_effects="statefips (51 levels), year (34 levels)"
Tabelas (1)
{ "coefficients": [ { "ci_high": 5.0543823817376365, "ci_low": -0.9574008288747962, "coef": 2.04849077643142, "p": 0.18150934987669956, "se": 1.5325047433447525, "t": 1.336694574896067, "term": "Intercept" }, { "ci_high": -1.0949029958750973, "ci_low": -5.60846855122348, "coef": -3.351685773549289, "p": 0.003628264636810602, "se": 1.1505838418721415, "t": -2.913030455995005, "term": "expansion" }, { "ci_high": -0.38135460379004876, "ci_low": -0.9704730413723013, "coef": -0.675913822581175, "p": 0.00000725075505790007, "se": 0.15017620701839626, "t": -4.500804994351582, "term": "unemp_rate" }, { "ci_high": 0.34141572975482026, "ci_low": 0.0785141917415105, "coef": 0.20996496074816537, "p": 0.0017613854675344078, "se": 0.06701802775036925, "t": 3.1329623952863717, "term": "pov_rate" } ] }- 430 rows were dropped because one of 'ageadjust_drugod', 'expansion', 'unemp_rate', 'pov_rate', 'statefips', 'year' was missing
- Digests dos dados
venkatramani_early_medicaid2a158981689789ad028fb63897c1a54a8034e1b67e32461a3fc7a79270bdaeeb- sha256 do resultado
4c75b202f6bead23d4ff45e90abdab9235078a09826c02412c5c152cec04fb4a
- 3Turno do modelo
call_d2daace4referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa (infer.ols): coef.expansion = -3,352.", "caveats": [], "figure_refs": [ "call_f78e3277:coef.expansion" ] }
- 4Guardaresposta aceita
- Números encontrados
- -3,352
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa (infer.ols): coef.expansion = -3,352.
Figuras citadas:call_f78e3277:coef.expansion· Parada:answeredFigura da resposta:call_f78e3277:coef.expansion= -3,35169-3.351685773549289(se 1,150581.1505838418721415) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximafalhouobrigatória
-3.351685774 vs -3.727
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
e4a5072c4d1fb616e3865e4f59b98b893bbfe61d066aed42de0557cb3cc1f8aaO 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/39dc488cc60ac2bcdbbb526fffe33905a63318f328b4a2af737a7f6c634c3d4b.json | 175 B | 39dc488cc60ac2bcdbbb526fffe33905a63318f328b4a2af737a7f6c634c3d4b |
| attachments/422262807a90cef91321c28b1a3a6cafed09efa57114898045f5b39942defecd.json | 2,5 KB | 422262807a90cef91321c28b1a3a6cafed09efa57114898045f5b39942defecd |
| attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json | 2,4 KB | 433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420 |
| attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json | 64,0 KB | 52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b |
| attachments/5d12fa309dc1cbae563c0e461076dd257059f8e0a409979c49f2197a66ca22fa.json | 268 B | 5d12fa309dc1cbae563c0e461076dd257059f8e0a409979c49f2197a66ca22fa |
| attachments/e33682e3b8fac27d1b5365e766b0cec2befbca4039239db6d8271b9671893944.json | 1,4 KB | e33682e3b8fac27d1b5365e766b0cec2befbca4039239db6d8271b9671893944 |
| attachments/ec72884264072a75a882d63f3a0fe1a8d1eac5225097439cb9b684d30ce143fc.json | 1,5 KB | ec72884264072a75a882d63f3a0fe1a8d1eac5225097439cb9b684d30ce143fc |
| native/causcibench_real/causcibench_real.q049.e1.a1.json | 1,9 KB | 04d728078082e1c90ee1d704c3d55183eebc9a6bdd057d1d7dac76f45fd1c9fe |
| sources/causcibench_real.gold.q049.json | 1,2 KB | ca7f1d4c96164e0c86e8c59d414101f35f7ee2e897c68ae67086db8f012aa6cb |
| specs/causcibench_real.q049.json | 6,3 KB | 9c512eb54df2d9f65e0154673e66b6ffed1ead8d67881c88ff836158a900ae2e |
| traces/causcibench_real.q049.e1.a1.jsonl | 14,1 KB | e9c6ead66109c72b230160e2d4a950eada33f3cb496c362a33589bb64839e3b0 |
| trajectories/causcibench_real.q049.e1.a1.jsonl | 11,1 KB | d8bb34d2586212659ee33b7948a8777fe1f4536d5c63e9a3a9ee5f8bf94239d3 |