Tarefa causcibench_real.q103
causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171059Z-suite-causcibench_real-scripted-ded01dVeredito
1702.64807 vs 1592.937Família do método (das chamadas de ferramentas): iv (two-stage least squares)
Pergunta feita ao analista
What is the effect of receiving subsidized training on 30-month income of men?
Estimativa (infer.iv_2sls): coef.JTPA training participation = 1703.
Valores esperados e de onde vêm
causcibench_real.gold.q103
- Fonte
- CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 103
- Tipo
- benchmark_gold
- Localização
- real_input.json, record id 103: fields effect and std_error
- Trecho
id 103 effect 1592.937 std_error 895.948
- Valor como publicado
1592.937- Erro-padrão como publicado
895.948- Valor
- 1.592,94
1592.937(se 895,948895.948) - 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: 1.592,94
1592.937· 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 1702.64807 vs 1592.937 | obrigatória | falhou | 1.592,941592.937 | 1.702,651702.6480696896685 | relativa 0.05 | causcibench_real.gold.q103 | call_f2aa807c |
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 | "abadie_instrumental_variables" | "abadie_instrumental_variables" | igual |
| endog | ["JTPA training participation"] | ["JTPA training participation"] | igual |
| exog | ["hsorged","black","hispanic","married","wkless13","class_tr","ojt_jsa","age2225","age2629","age3035","age3644","age4554","f2sms"] | ["hsorged","black","hispanic","married","wkless13","class_tr","ojt_jsa","age2225","age2629","age3035","age3644","age4554","f2sms"] | igual |
| instruments | ["JTPA training offer"] | ["JTPA training offer"] | igual |
| level | — | 0,950.95 | não fixado pela referência |
| se | — | "HC1" | não fixado pela referência |
| subset | — | — | não fixado pela referência |
| y | "income" | "income" | 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 receiving subsidized training on 30-month income of men?
abadie_instrumental_variables(agent)This dataset was constructed to measure how subsidized Job Training Partnership Act (JTPA) programs affect not just average earnings but different points (quantiles) of the trainee earnings distribution. Data collection process: Data are drawn from the National JTPA Study - a large encouragement design randomized controlled trial under the JTPA. Eligible individuals were randomly assigned to be offered training services (treatment group) or excluded for 18 months (control group), with roughly 60% of those offered actually receiving training. Baseline demographic and economic covariates were collected before randomization, and earnings plus participation data were tracked for 30 months post-assignment via administrative records and follow-up interviews. Dataset variables: V1: Unique identifier for individuals income: Individual's income (continuous, ranges from 0 to ~155,760) JTPA training offer: Whether the person was offered JTPA training (binary: 1 = yes, 0 = no) JTPA training participation: Whether the person actually participated in JTPA training (binary) male: Gender (1 = male, 0 = female) hsorged: Completed high school or earned a GED (1 = yes, 0 = no) black: Race indicator (1 = Black, 0 = otherwise) hispanic: Ethnicity indicator (1 = Hispanic, 0 = otherwise) married: Marital status (1 = married, 0 = unmarried) wkless13: Employment status: whether worked less than 13 weeks in the year before program entry (1 = yes, 0 = no) afdc: Receipt of Aid to Families with Dependent Children (AFDC welfare program) (1 = yes, 0 = no) age2225: Age group indicator (22-25 years old) age2629: Age group indicator (26-29 years old) age3035: Age group indicator (30-35 years old) age3644: Age group indicator (36-44 years old) age4554: Age group indicator (45-54 years old) class_tr: Participation in classroom training (1 = yes, 0 = no) ojt_jsa: Participation in on-the-job training (OJT) or job search assistance (JSA) f2sms: Indicator for assignment to ""Follow-up survey sample"" or another experimental grouping
file07f3f196b42e8b021c7ed300807753a0c7ee104d9466807fc298890879e73c38· frame — - 1Turno do modelo
call_941fbd93referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelcauscibench_metadata_rule/1: iv
Chamadas pedidasinfer.iv_2sls{ "dataset": "abadie_instrumental_variables", "endog": [ "JTPA training participation" ], "exog": [ "hsorged", "black", "hispanic", "married", "wkless13", "class_tr", "ojt_jsa", "age2225", "age2629", "age3035", "age3644", "age4554", "f2sms" ], "instruments": [ "JTPA training offer" ], "y": "income" }
- 2Ferramenta
infer.iv_2slsv0.1.0call_f2aa807cdecidido pelo modeloreexecutávelMotivo: causcibench_metadata_rule/1: iv
Argumentos
{ "cluster": null, "dataset": "abadie_instrumental_variables", "endog": [ "JTPA training participation" ], "exog": [ "hsorged", "black", "hispanic", "married", "wkless13", "class_tr", "ojt_jsa", "age2225", "age2629", "age3035", "age3644", "age4554", "f2sms" ], "instruments": [ "JTPA training offer" ], "level": 0.95, "se": "HC1", "subset": null, "y": "income" }Figuras call_f2aa807c Chave Valor Valor bruto Erro-padrão IC coef.JTPA training participation 2SLS effect of JTPA training participation on income1.702,65 1702.6480696896685503,552 503.5516981474554715,598 – 2.689,7 Diagnósticosfirst_stage_F.JTPA training participation= 11.272,911272.943843826715partial_r2.JTPA training participation= 0,3600870.3600868627355367weak_instrument=falsen_obs= 11.20411204se_type="HC1"n_clusters= —
Tabelas (3)
{ "coefficients": [ { "ci_high": 12611.997071626314, "ci_low": 9440.113047230998, "coef": 11026.055059428656, "p": 5.908534897288086e-42, "se": 809.0814252230848, "t": 13.627868241306473, "term": "Intercept" }, { "ci_high": 4352.359414880281, "ci_low": 3061.204487620525, "coef": 3706.781951250403, "p": 3.142674231390705e-29, "se": 329.3466787236278, "t": 11.254954704920403, "term": "hsorged" }, { "ci_high": -701.3539219581587, "ci_low": -2097.8700815005386, "coef": -1399.6120017293485, "p": 0.00008579744380681868, "se": 356.2221304497472, "t": -3.929042813713658, "term": "black" }, { "ci_high": 161.17235312981416, "ci_low": -1712.2115329459505, "coef": -775.5195899080682, "p": 0.10463951393187298, "se": 477.86113643455036, "t": -1.6228973875013712, "term": "hispanic" }, { "ci_high": 5078.301042312055, "ci_low": 3513.9894093083217, "coef": 4296.145225810188, "p": 6.699311187161305e-27, "se": 399.023254251862, "t": 10.766653772761016, "term": "married" }, { "ci_high": -6516.594286697176, "ci_low": -7789.515153755572, "coef": -7153.054720226374, "p": 2.5255647024414334e-105, "se": 324.6955504661458, "t": -22.030036167595046, "term": "wkless13" }, { "ci_high": -1724.1368954512845, "ci_low": -3276.6149176379477, "coef": -2500.375906544616, "p": 2.822070779154482e-10, "se": 396.0047470707126, "t": -6.314004882618582, "term": "class_tr" }, { "ci_high": 1833.1561868821295, "ci_low": 303.7285348799022, "coef": 1068.442360881016, "p": 0.006177697086844569, "se": 390.12507864106436, "t": 2.7387174508307868, "term": "ojt_jsa" }, { "ci_high": 5543.648442983713, "ci_low": 2679.3337054212593, "coef": 4111.491074202486, "p": 1.874025692790611e-8, "se": 730.6269183648081, "t": 5.627346831682957, "term": "age2225" }, { "ci_high": 6014.982222081624, "ci_low": 3097.1801464352934, "coef": 4556.081184258459, "p": 9.57806099192944e-10, "se": 744.2704221611183, "t": 6.121540032491264, "term": "age2629" }, { "ci_high": 5791.338294509802, "ci_low": 2907.95969429423, "coef": 4349.648994402016, "p": 3.4376519840728547e-9, "se": 735.489711911802, "t": 5.913949473332149, "term": "age3035" }, { "ci_high": 5305.758490320646, "ci_low": 2366.7238852148016, "coef": 3836.241187767724, "p": 3.153678918989525e-7, "se": 749.6863973556935, "t": 5.117127910148802, "term": "age3644" }, { "ci_high": 3524.4039598184254, "ci_low": 324.32721489610367, "coef": 1924.3655873572645, "p": 0.01841542577335949, "se": 816.2727999169481, "t": 2.357503015600985, "term": "age4554" }, { "ci_high": 2178.9603252458496, "ci_low": 886.229651709843, "coef": 1532.5949884778463, "p": 0.000003393803095882883, "se": 329.74861871675915, "t": 4.647767728162294, "term": "f2sms" }, { "ci_high": 2689.6980358724013, "ci_low": 715.5981035069357, "coef": 1702.6480696896685, "p": 0.0007239653280671672, "se": 503.5516981474554, "t": 3.381277584712029, "term": "JTPA training participation" } ], "first_stage": [ { "ci_high": 0.6372441125397917, "ci_low": 0.6141411623590348, "coef": 0.6256926374494133, "endog": "JTPA training participation", "instrument": "JTPA training offer", "p": 0, "se": 0.005893080489494922, "t": 106.17412040524148 } ], "reduced_form": [ { "ci_high": 1683.7279548303702, "ci_low": 446.94076791419343, "coef": 1065.3343613722818, "instrument": "JTPA training offer", "p": 0.0007356188637250442, "se": 315.4786026826926, "t": 3.376883098609993 } ] }- Digests dos dados
abadie_instrumental_variables7d1e5077d40b12f4726ea5b1690837de3f5067be68b661660c27c9d21475aa9d- sha256 do resultado
83244715339076d7680413a2c78d5bbdffbf2623a96417a88f9e359599a6f6e4
- 3Turno do modelo
call_e6bf3a78referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa (infer.iv_2sls): coef.JTPA training participation = 1703.", "caveats": [], "figure_refs": [ "call_f2aa807c:coef.JTPA training participation" ] }
- 4Guardaresposta aceita
- Números encontrados
- 1703
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa (infer.iv_2sls): coef.JTPA training participation = 1703.
Figuras citadas:call_f2aa807c:coef.JTPA training participation· Parada:answeredFigura da resposta:call_f2aa807c:coef.JTPA training participation= 1.702,651702.6480696896685(se 503,552503.5516981474554) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximafalhouobrigatória
1702.64807 vs 1592.937
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
620add66e80e93869448756123f8394ed4a2235c34b03292c7b522f7fef85f1eO 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.q103.e1.a1.json | 2,0 KB | 8f6136a6b941c96d8f93e2d8bd7283557130d788742c82d5a146f5b1160d7e60 |
| sources/causcibench_real.gold.q103.json | 1,2 KB | 6076362d97c415a3bb0a70b01f5e8c189acc2eaec9d4ed70c9b34711b8336b27 |
| specs/causcibench_real.q103.json | 6,8 KB | 3914093dad96b45820d4e45d499875fe5a0c42a2e6079ee8af30f45a83c39af1 |
| traces/causcibench_real.q103.e1.a1.jsonl | 17,4 KB | f4d8a6d74f161e8010a5781fa109e94c38b4b5ed9234ffa585650a83037a651d |
| trajectories/causcibench_real.q103.e1.a1.jsonl | 14,1 KB | 499c030698661b9bb8ebb1ab4a4e6e761580666b2592f2de450572b8b82a04b1 |