Tarefa causcibench_real.q145
causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171142Z-suite-causcibench_real-naive-d6494dVeredito
0.5141022104 vs 0.431Família do método (das chamadas de ferramentas): ols (regression)
Pergunta feita ao analista
Does electing women in districts with close races empower other women to vote at the next election?
Estimativa ingênua (infer.ols): coef.womanwon = 0,5141.
Valores esperados e de onde vêm
causcibench_real.gold.q145
- Fonte
- CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 145
- Tipo
- benchmark_gold
- Localização
- real_input.json, record id 145: fields effect and std_error
- Trecho
id 145 effect 0.431 std_error 0.076
- Valor como publicado
0.431- Erro-padrão como publicado
0.076- Valor
- 0,431
0.431(se 0,0760.076) - 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: 0,431
0.431· 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 0.5141022104 vs 0.431 | obrigatória | falhou | 0,4310.431 | 0,5141020.5141022103681904 | relativa 0.05 | causcibench_real.gold.q145 | call_bd55c2ba |
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 | ["femalecand_margin_of_victory","fem_v_c_p_2","fem_v_c_p_3","fem_v_c_p_4","winXfem_v_c_p","winXfem_v_c_p_2","winXfem_v_c_p_3","winXfem_v_c_p_4"] | [] | diferente |
| dataset | "broockman_do_female" | "broockman_do_female" | igual |
| fe | — | [] | não fixado pela referência |
| 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 | ["womanwon"] | ["womanwon"] | igual |
| y | "femaleonballotnextyear" | "femaleonballotnextyear" | igual |
Pendências do caminho de referência: needs_spec:bandwidth
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
Does electing women in districts with close races empower other women to vote at the next election?
broockman_do_female(agent)The dataset aims to study the influence of electing women officials on women's participation in subsequent elections. It uses data from US districts with close election races between men and women candidates. In the contests, candidates with more than 50% of the vote win. Variable description: Year: Election Year State: US state abbreviation Chamber: Whether the election is for the House (H) or the Senate (S) Name: Name of the candidate contesting the current election Pty: Political party (R = republican, D = democrat, IP = independent) of the female candidate Seat: Status of the contesting seat (I: incumbent, O = Open, etc.) GE_Win: Outcome of the election (Won or lost) womanwon: Binary variable indicating whether a woman won the election or not (1 = Won, 0 = Lost) femalecand_margin_of_victory: Margin of victory for the candidates (negative values if the candidate lost) fem_v_c_p_2: Margin of victory squared fem_v_c_p_3: Margin of victory cubed fem_v_c_p_4: Margin of victory raised to the fourth power femaleonballotnextyear: Share of women on the next election, i.e., women's voter turnout winXfem_v_c_p: Interaction between womanwon and femalecand_margin_of_victory winXfem_v_c_p_2: Interaction between womanwon and fem_v_c_p_2 winXfem_v_c_p_3: Interaction between womanwon and fem_v_c_p_3 winXfem_v_c_p_4: Interaction between womanwon and fem_v_c_p_4 absolute_margin: absolute margin of victory of one candidate over the other in the last election, i.e., abs(femalecand_margin_of_victory) femaleonballotnextyear: Binary variable indicating if a female is on the ballot of the next year's elections (1 = yes, 0 = no) femaleturnout_thiscycle: Fraction of females that turned out to vote in the reference election femaleturnout_nextcycle: Fraction of females that turned out to vote in the next election female_percentageofelectorate_th: Fraction of females in the voter electorate for the reference election female_percentageofelectorate_ne: Fraction of females in the voter electorate for the next election overall_voterturnout_thiscycle: Overall voter turnout in the reference election cycle overall_voterturnout_nextcycle: Overall voter turnout in the next election cycle
file79817fe2c223e23f2266493fa1deb84301c0cfa51da6444ae4ba7b40465cb2a8· frame — - 1Turno do modelo
call_97520b81naive-olsFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelLinha de base ingênua: regressão do resultado no tratamento, sem controles.
Chamadas pedidasinfer.ols{ "dataset": "broockman_do_female", "x": [ "womanwon" ], "y": "femaleonballotnextyear" }
- 2Ferramenta
infer.olsv0.1.0call_bd55c2badecidido pelo modeloreexecutávelMotivo: Linha de base ingênua: regressão do resultado no tratamento, sem controles.
Argumentos
{ "cluster": null, "controls": [], "dataset": "broockman_do_female", "fe": [], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "womanwon" ], "y": "femaleonballotnextyear" }Figuras call_bd55c2ba Chave Valor Valor bruto Erro-padrão IC coef.womanwon Coefficient on womanwon in the regression of femaleonballotnextyear0,514102 0.51410221036819040,0120935 0.0120935413354134030,490394 – 0,53781 Diagnósticosn_obs= 5.6605660k= 22r2= 0,2786910.27869122063554863df_resid= 5.6585658se_type="HC1"n_clusters= —
Tabelas (1)
{ "coefficients": [ { "ci_high": 0.37136099443993625, "ci_low": 0.3294422184114694, "coef": 0.35040160642570284, "p": 7.306834324699846e-216, "se": 0.010691474202481323, "t": 32.77392806544678, "term": "Intercept" }, { "ci_high": 0.5378101874455025, "ci_low": 0.49039423329087833, "coef": 0.5141022103681904, "p": 0, "se": 0.012093541335413403, "t": 42.510476965316165, "term": "womanwon" } ] }- 237 rows were dropped because one of 'femaleonballotnextyear', 'womanwon' was missing
- Digests dos dados
broockman_do_female950d0458bf6c4207813a05b15376261911c645df01034cf394a37843c48c7f1c- sha256 do resultado
83af52cbad3b40ed7f886990aa0f914ed4a13e517f2af1dc715c538b97fd4137
- 3Turno do modelo
call_e26c4df4naive-olsFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa ingênua (infer.ols): coef.womanwon = 0,5141.", "caveats": [], "figure_refs": [ "call_bd55c2ba:coef.womanwon" ] }
- 4Guardaresposta aceita
- Números encontrados
- 0,5141
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa ingênua (infer.ols): coef.womanwon = 0,5141.
Figuras citadas:call_bd55c2ba:coef.womanwon· Parada:answeredFigura da resposta:call_bd55c2ba:coef.womanwon= 0,5141020.5141022103681904(se 0,01209350.012093541335413403) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximafalhouobrigatória
0.5141022104 vs 0.431
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
23ee4a540466891422143ae22d0f482ea42ae72fe15f20a33f4c17ab44d866e1O 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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| attachments/462077c8e0c21f8d67fdabfdf01e4afa6cf7e5c809bff2847d6661ce4c761bfd.json | 987 B | 462077c8e0c21f8d67fdabfdf01e4afa6cf7e5c809bff2847d6661ce4c761bfd |
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| attachments/d30a0a39f03923c54196069689b5fae832aa5b27a7a12ef3869396d424edb9e2.json | 124 B | d30a0a39f03923c54196069689b5fae832aa5b27a7a12ef3869396d424edb9e2 |
| native/causcibench_real/causcibench_real.q145.e1.a1.json | 1,7 KB | 9e216b001e8a721b48eec08d6f8b58dd9164a646c28d1f5300fc141db9608d80 |
| sources/causcibench_real.gold.q145.json | 1,2 KB | fab4278dd882a79701359a11d866513bfd6a57123ba29068094f74f2577736ed |
| specs/causcibench_real.q145.json | 7,1 KB | d5b54e4509812e5afa50f08326b5a1ebb1cefd49870f120127c72360c0c5aed6 |
| traces/causcibench_real.q145.e1.a1.jsonl | 19,2 KB | c6fa94a62cba5f489e9ba67b8077edd8def7994e96298decb303c4f841e1c5a9 |
| trajectories/causcibench_real.q145.e1.a1.jsonl | 10,8 KB | f422be9cf9f80a4e21507b06f37be7e198759f317f269b469a26ae993fa6cf2f |