Tarefa causcibench_real.q013
causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171059Z-suite-causcibench_real-scripted-ded01dVeredito
Família do método (das chamadas de ferramentas): ols (regression)
Pergunta feita ao analista
How much differently do Black legislators respond to out of districts email?
Estimativa (infer.ols): coef.treat_out = -0,2672.
Valores esperados e de onde vêm
causcibench_real.gold.q013
- Fonte
- CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 13
- Tipo
- benchmark_gold
- Localização
- real_input.json, record id 13: fields effect and std_error
- Trecho
id 13 effect -0.276 std_error 0.013
- Valor como publicado
-0.276- Erro-padrão como publicado
0.013- Valor
- -0,276
-0.276(se 0,0130.013) - 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: -0,276
-0.276· 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 -0.2672311246 vs -0.276 | obrigatória | passou | -0,276-0.276 | -0,267231-0.2672311245850423 | relativa 0.05 | causcibench_real.gold.q013 | call_adc28ae8 |
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 | ["leg_black","leg_democrat","south","leg_senator","blackpercent","black_medianhh","white_medianhh","statessquireindex","urbanpercent","nonblacknonwhite","totalpop"] | ["leg_black","leg_democrat","south","leg_senator","blackpercent","black_medianhh","white_medianhh","statessquireindex","urbanpercent","nonblacknonwhite","totalpop"] | igual |
| dataset | "broockman_black_politicians" | "broockman_black_politicians" | 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 | ["treat_out"] | ["treat_out"] | igual |
| y | "responded" | "responded" | igual |
Pendências do caminho de referência: needs_spec:interaction
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
How much differently do Black legislators respond to out of districts email?
broockman_black_politicians(agent)This data is from a randomized field experiment in which fictional emails, appearing to come from Black constituents, were sent to legislators across the United States. The purpose was to test whether being outside a legislator's district reduced the likelihood of receiving a response, and whether Black legislators were more likely to respond regardless of electoral incentives. The main focus is on differences in responsiveness based on the race of the legislator and the sender's eligibility to vote. Variables include: leg_black: 1 if the legislator is Black, 0 otherwise treat_out: 1 if the email was from an out-of-district sender, 0 otherwise responded: 1 if the legislator responded to the email, 0 otherwise totalpop: Population of the legislator's district medianhhincom: Median household income in the district black_medianhh: Median household income among Black residents in the district white_medianhh: Median household income among White residents in the district blackpercent: Percentage of the district's population that is Black statessquireindex: State legislative professionalism index (Squire index) nonblacknonwhite: 1 if the legislator is neither Black nor White, 0 otherwise urbanpercent: Percentage of the district that is urban leg_senator: 1 if the legislator is a senator, 0 otherwise leg_democrat: 1 if the legislator is a Democrat, 0 otherwise south: 1 if the legislator represents a Southern state, 0 otherwise
file414450c964cacbde724fd24906b61bb65232c0ae9c73a1bc021dbce1ea058022· frame — - 1Turno do modelo
call_eb3c65ecreferenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelcauscibench_metadata_rule/1: ols
Chamadas pedidasinfer.ols{ "controls": [ "leg_black", "leg_democrat", "south", "leg_senator", "blackpercent", "black_medianhh", "white_medianhh", "statessquireindex", "urbanpercent", "nonblacknonwhite", "totalpop" ], "dataset": "broockman_black_politicians", "x": [ "treat_out" ], "y": "responded" }
- 2Ferramenta
infer.olsv0.1.0call_adc28ae8decidido pelo modeloreexecutávelMotivo: causcibench_metadata_rule/1: ols
Argumentos
{ "cluster": null, "controls": [ "leg_black", "leg_democrat", "south", "leg_senator", "blackpercent", "black_medianhh", "white_medianhh", "statessquireindex", "urbanpercent", "nonblacknonwhite", "totalpop" ], "dataset": "broockman_black_politicians", "fe": [], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "treat_out" ], "y": "responded" }Figuras call_adc28ae8 Chave Valor Valor bruto Erro-padrão IC coef.treat_out Coefficient on treat_out in the regression of responded-0,267231 -0.26723112458504230,012613 0.01261301217487693-0,291958 – -0,242505 Diagnósticosn_obs= 5.5935593k= 1313r2= 0,08951250.08951247549215935df_resid= 5.5805580se_type="HC1"n_clusters= —
Tabelas (1)
{ "coefficients": [ { "ci_high": 0.48837892998224314, "ci_low": 0.38768337474520703, "coef": 0.4380311523637251, "p": 1.2714603443366106e-63, "se": 0.02568254164730191, "t": 17.055599807028546, "term": "Intercept" }, { "ci_high": -0.24250471156870912, "ci_low": -0.29195753760137544, "coef": -0.2672311245850423, "p": 6.911875053915033e-96, "se": 0.01261301217487693, "t": -21.186939398768143, "term": "treat_out" }, { "ci_high": 0.02531981050144974, "ci_low": -0.12472458323946961, "coef": -0.049702386369009935, "p": 0.1940790865210647, "se": 0.03826903165809239, "t": -1.2987625820550346, "term": "leg_black" }, { "ci_high": -0.02483088220920489, "ci_low": -0.07800364679614565, "coef": -0.05141726450267527, "p": 0.0001514218793190987, "se": 0.013561787685580083, "t": -3.791333834059796, "term": "leg_democrat" }, { "ci_high": 0.027741401504178594, "ci_low": -0.03798279148815787, "coef": -0.005120694991989637, "p": 0.7600156561639032, "se": 0.016763046986409097, "t": -0.3054751917202953, "term": "south" }, { "ci_high": 0.12098530704268856, "ci_low": 0.05735880384106013, "coef": 0.08917205544187434, "p": 4.081622860417621e-8, "se": 0.016228028282890748, "t": 5.4949408447783314, "term": "leg_senator" }, { "ci_high": 0.21868762831031277, "ci_low": -0.044135419495201195, "coef": 0.08727610440755579, "p": 0.19297707465150193, "se": 0.06703338449494219, "t": 1.301979678709807, "term": "blackpercent" }, { "ci_high": 0.013638766359236408, "ci_low": -0.014010408747909871, "coef": -0.00018582119433673108, "p": 0.9789788869718461, "se": 0.007051960630548766, "t": -0.02635028810736156, "term": "black_medianhh" }, { "ci_high": 0.04155633334143796, "ci_low": 0.0005762089856204029, "coef": 0.021066271163529184, "p": 0.04389824586536693, "se": 0.010452037808445318, "t": 2.015518078829326, "term": "white_medianhh" }, { "ci_high": 0.6283875560357884, "ci_low": 0.3468114165587721, "coef": 0.4875994862972803, "p": 1.2417738938837578e-11, "se": 0.071816386651644, "t": 6.78952964679849, "term": "statessquireindex" }, { "ci_high": 0.059030077242813624, "ci_low": -0.032548278457154, "coef": 0.013240899392829813, "p": 0.5708133628583375, "se": 0.023357187203738528, "t": 0.5668875827098945, "term": "urbanpercent" }, { "ci_high": 0.02433299949662531, "ci_low": -0.09491329006501581, "coef": -0.035290145284195246, "p": 0.24596482188488095, "se": 0.03041393228076323, "t": -1.1603282652968954, "term": "nonblacknonwhite" }, { "ci_high": -0.0018651697086579221, "ci_low": -0.005297991404080102, "coef": -0.003581580556369012, "p": 0.00004361639910613996, "se": 0.0008755459558558036, "t": -4.090682542035376, "term": "totalpop" } ] }- Digests dos dados
broockman_black_politiciansb96d5891f0e7beff3062ed222dc9d9eae8bf1955fa80fb0fd7318a05f0b198b0- sha256 do resultado
047f02c8d4eb55a0dcaad4670c353dc845fd3af9127878be18f9544a75efb40f
- 3Turno do modelo
call_8ec750c5referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa (infer.ols): coef.treat_out = -0,2672.", "caveats": [], "figure_refs": [ "call_adc28ae8:coef.treat_out" ] }
- 4Guardaresposta aceita
- Números encontrados
- -0,2672
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa (infer.ols): coef.treat_out = -0,2672.
Figuras citadas:call_adc28ae8:coef.treat_out· Parada:answeredFigura da resposta:call_adc28ae8:coef.treat_out= -0,267231-0.2672311245850423(se 0,0126130.01261301217487693) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximapassouobrigatória
-0.2672311246 vs -0.276
Épocas × verificações
| # | 0 | 1 |
|---|---|---|
| Época 1 | passou | passou |
Tentativas
Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.
- época 1, tentativa 1passoupontuada(exibindo)
Downloads desta tarefa
4f0dea892497a646850777dc05b8fedab505b61f58b76d17746e79ca5366981eO 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 |
|---|---|---|
| attachments/2c81151ca15112d7ca8acdb3244a435052ba9f3bccff763ca56aa78f197af186.json | 2,1 KB | 2c81151ca15112d7ca8acdb3244a435052ba9f3bccff763ca56aa78f197af186 |
| attachments/36bd535f14c1181292718169b4c50f7951b88a0c7b970854bd58eb61cc23bcdc.json | 374 B | 36bd535f14c1181292718169b4c50f7951b88a0c7b970854bd58eb61cc23bcdc |
| attachments/3f5f30407a8702abf28a1fc6b564d1921e6d1950cf8558c4c231dfea0e626c09.json | 2,1 KB | 3f5f30407a8702abf28a1fc6b564d1921e6d1950cf8558c4c231dfea0e626c09 |
| attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json | 2,4 KB | 433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420 |
| attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json | 64,0 KB | 52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b |
| attachments/57c7b386282b49f1b953456195403b90f8125e644946b4820c6e818169d87ab3.json | 2,2 KB | 57c7b386282b49f1b953456195403b90f8125e644946b4820c6e818169d87ab3 |
| attachments/649ea98593339fb7f13871fd028bed1cea032e038961644f7dfe851659f45d09.json | 101 B | 649ea98593339fb7f13871fd028bed1cea032e038961644f7dfe851659f45d09 |
| native/causcibench_real/causcibench_real.q013.e1.a1.json | 2,0 KB | 413a92af80bd52d1d51bc300fbb9269a84eaec94066c4f4cbc35bc2e5c023bc1 |
| sources/causcibench_real.gold.q013.json | 1,2 KB | 58115e37c5e1076dacc4c42b0a96b7d1201b824ac9557503216ed0b86d190f03 |
| specs/causcibench_real.q013.json | 6,9 KB | 4d24cc07fddbd3b20a0f4d0d200da0723f3907e0545b7e1b539019351abb5a7b |
| traces/causcibench_real.q013.e1.a1.jsonl | 15,3 KB | 0bbbb6705a30527bf1c68a01e148715faa0ddd8fcbef9f86f5a270840edc3384 |
| trajectories/causcibench_real.q013.e1.a1.jsonl | 12,2 KB | 534be3ad4670b709d8b6987686ad253a10b96911156bb82a617db0a759af0021 |