Tarefa causcibench_real.q008
causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171059Z-suite-causcibench_real-scripted-ded01dVeredito
Família do método (das chamadas de ferramentas): Regressão linear por mínimos quadrados ordinários (MQO) · infer.ols (ols · regressão linear)
coef.somalia =-0,143497-0.14349694546104602coef.somalia =-0,144-0.144Pergunta feita ao analista
How does being born in Somalia, compared to other countries, affect a candidate's chances of getting a job interview?
Estimativa (infer.ols): coef.somalia = -0,1435.
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
vernby_can_immigrants— The data comes from a randomized field experiment designed to assess whether a candidate's background influences their likelihood of receiving a job interview or offer. Researchers submitted fictitious job applications to restaurants and cafes across Sweden at random. The applications varied in terms of country of birth, gender, citizenship status, work experience, and religious activity. A positive response was defined as a job offer, interview invitation, or follow-up inquiry, while a negative response included any other reply or no response at all. Variables: name: Name of the candidate stad: City citizen: 1 if the candidate is a Swedish citizen, 0 otherwise religious: 1 if the candidate is religious, 0 otherwise experience: 1 if the candidate has work experience, 0 otherwise poland: 1 if the candidate was born in Poland, 0 otherwise iraq: 1 if the candidate was born in Iraq, 0 otherwise somalia: 1 if the candidate was born in Somalia, 0 otherwise skilledjob: 1 if the job is high-skilled, 0 otherwise woman: 1 if the candidate is a woman, 0 otherwise invited: 1 if the candidate received an interview or a job or a follow-up response, 0 otherwise city1, city2, city3, city4, city5, city6, city7: Dummy variables for the seven cities immigrant: 1 if the candidate is an immigrant (not born in Sweden), 0 otherwise time: Proportion of the applicant's life spent living in Sweden (scaled between 0 and 1) - 2Chamada que gerou a resposta finalVer chamada call_1cc60c57 nos detalhes
infer.ols(Regressão linear por mínimos quadrados ordinários (MQO))citada na respostacoincide com a referênciacauscibench_metadata_rule/1: ols
Por que este é o caminho de referência: causcibench_metadata_rule/1: olsArgumentos principais- controls:
["poland","iraq","citizen","woman","religious","experience","skilledjob","time"]- dataset:
"vernby_can_immigrants"- intercept:
true- level:
- 0,95
0.95 - se:
"HC1"- x:
["somalia"]- y:
"invited"
Resultado calculadocoef.somalia= -0,143497-0.14349694546104602Coefficient on somalia in the regression of invited
Diagnósticos:n_obs= 1.4921492(observations used) ·k= 1010(parameters estimated, fixed-effect dummies included) ·r2= 0,08854750.08854750659563826·df_resid= 1.4821482·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:-0,1435Figuras citadas:call_1cc60c57:coef.somalia- #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.q008
- Fonte
- CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 8
- Tipo
- benchmark_gold
- Localização
- real_input.json, record id 8: fields effect and std_error
- Trecho
id 8 effect -0.144 std_error 0.031
- Valor como publicado
-0.144- Erro-padrão como publicado
0.031- Valor
- -0,144
-0.144(se 0,0310.031) - 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: -0,144
-0.144· relativa 0.05
Especificação técnica do gabarito
CauSciBench real_input.json @ d9bb43a, id 8: effect -0.144
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| -0.1434969455 vs -0.144 | obrigatória | passou | -0,144-0.144 | -0,143497-0.14349694546104602 | relativa 0.05 | causcibench_real.gold.q008 | call_1cc60c57 |
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 | ["poland","iraq","citizen","woman","religious","experience","skilledjob","time"] | ["poland","iraq","citizen","woman","religious","experience","skilledjob","time"] | igual |
| dataset | "vernby_can_immigrants" | "vernby_can_immigrants" | 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 | ["somalia"] | ["somalia"] | igual |
| y | "invited" | "invited" | igual |
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
How does being born in Somalia, compared to other countries, affect a candidate's chances of getting a job interview?
vernby_can_immigrants(agent)The data comes from a randomized field experiment designed to assess whether a candidate's background influences their likelihood of receiving a job interview or offer. Researchers submitted fictitious job applications to restaurants and cafes across Sweden at random. The applications varied in terms of country of birth, gender, citizenship status, work experience, and religious activity. A positive response was defined as a job offer, interview invitation, or follow-up inquiry, while a negative response included any other reply or no response at all. Variables: name: Name of the candidate stad: City citizen: 1 if the candidate is a Swedish citizen, 0 otherwise religious: 1 if the candidate is religious, 0 otherwise experience: 1 if the candidate has work experience, 0 otherwise poland: 1 if the candidate was born in Poland, 0 otherwise iraq: 1 if the candidate was born in Iraq, 0 otherwise somalia: 1 if the candidate was born in Somalia, 0 otherwise skilledjob: 1 if the job is high-skilled, 0 otherwise woman: 1 if the candidate is a woman, 0 otherwise invited: 1 if the candidate received an interview or a job or a follow-up response, 0 otherwise city1, city2, city3, city4, city5, city6, city7: Dummy variables for the seven cities immigrant: 1 if the candidate is an immigrant (not born in Sweden), 0 otherwise time: Proportion of the applicant's life spent living in Sweden (scaled between 0 and 1)
file6b86133cb042567bcf438fed9ac968ded163b85e3608000503564ddb195541c6· frame — - 1Turno do modelo
call_7c858211referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelcauscibench_metadata_rule/1: ols
Chamadas pedidasinfer.ols{ "controls": [ "poland", "iraq", "citizen", "woman", "religious", "experience", "skilledjob", "time" ], "dataset": "vernby_can_immigrants", "x": [ "somalia" ], "y": "invited" }
- 2Ferramenta
infer.ols— Regressão linear por mínimos quadrados ordinários (MQO)v0.1.0call_1cc60c57decidido pelo modeloreexecutávelMotivo: causcibench_metadata_rule/1: ols
Argumentos
{ "cluster": null, "controls": [ "poland", "iraq", "citizen", "woman", "religious", "experience", "skilledjob", "time" ], "dataset": "vernby_can_immigrants", "fe": [], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "somalia" ], "y": "invited" }Figuras call_1cc60c57 Chave Valor Valor bruto Erro-padrão IC coef.somalia Coefficient on somalia in the regression of invited-0,143497 -0.143496945461046020,030558 0.030557979449320673-0,203438 – -0,0835555 Diagnósticosn_obs= 1.4921492(observations used)k= 1010(parameters estimated, fixed-effect dummies included)r2= 0,08854750.08854750659563826df_resid= 1.4821482se_type="HC1"(heteroskedasticity-robust standard errors (HC1))n_clusters= — (errors not clustered)
Derivação matemática e pressupostos
coef.somalia- Coeficiente de somalia na regressão por mínimos quadrados ordinários de invited.→ -0,143497 (-0.14349694546104602)
- Erro-padrão robusto à heterocedasticidade (HC1): a raiz da variância estimada do coeficiente.
ep = √V_jj→ 0,030558 (0.030557979449320673) - Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 1482 graus de liberdade vezes o erro-padrão.
IC = β ± c · ep
Pressupostos do estimador- the conditional mean of the outcome is linear in the regressors
- errors are independent across observations; their variance may differ
Tabelas (1)
{ "coefficients": [ { "ci_high": 0.0804849792511623, "ci_low": -0.0779067480498846, "coef": 0.0012891156006388472, "p": 0.9745325624171545, "se": 0.04037379518347803, "t": 0.03192951256577399, "term": "Intercept" }, { "ci_high": -0.08355545215069582, "ci_low": -0.20343843877139622, "coef": -0.14349694546104602, "p": 0.000002900055661449979, "se": 0.030557979449320673, "t": -4.695891156646356, "term": "somalia" }, { "ci_high": 0.041645505174674816, "ci_low": -0.08981616759796239, "coef": -0.024085331211643784, "p": 0.47239957645100034, "se": 0.03350936782772735, "t": -0.7187641180062597, "term": "poland" }, { "ci_high": -0.029664229818313667, "ci_low": -0.15644178277776866, "coef": -0.09305300629804117, "p": 0.004039949908723916, "se": 0.03231539326115894, "t": -2.879525727755416, "term": "iraq" }, { "ci_high": 0.04795517358226795, "ci_low": -0.017200911345779328, "coef": 0.01537713111824431, "p": 0.35466069200061723, "se": 0.016608180696473115, "t": 0.925876915676247, "term": "citizen" }, { "ci_high": 0.1110633244577133, "ci_low": 0.04737496188172921, "coef": 0.07921914316972126, "p": 0.0000011764767128503913, "se": 0.01623406064211078, "t": 4.879810721183868, "term": "woman" }, { "ci_high": 0.026128687872980557, "ci_low": -0.03801671563243314, "coef": -0.005944013879726293, "p": 0.7162565201764133, "se": 0.016350559636027207, "t": -0.3635358062380393, "term": "religious" }, { "ci_high": 0.06311314559456954, "ci_low": -0.01164212192573853, "coef": 0.025735511834415508, "p": 0.17703259557855264, "se": 0.019054996818202368, "t": 1.3505912428088966, "term": "experience" }, { "ci_high": 0.0890935741254843, "ci_low": -0.005577583275583532, "coef": 0.041757995424950387, "p": 0.083761047641662, "se": 0.024131524946557355, "t": 1.73043334465722, "term": "skilledjob" }, { "ci_high": 1.3623371395776798, "ci_low": 0.7073382751126345, "coef": 1.0348377073451571, "p": 7.388570494098007e-10, "se": 0.16695815147630907, "t": 6.198186181355739, "term": "time" } ] }Hashes SHA-256 e metadados de reprodução
- Digests dos dados
vernby_can_immigrants321ceca56d7e15f0f480ef67fa412659353c33e94500351553713de75069879c- sha256 do resultado
11c68fa7a581b907367ce08a4a036c97871fea93cdb76939eb69c3b3b2a5f7cf
- 3Turno do modelo
call_4e4d8f7creferenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa (infer.ols): coef.somalia = -0,1435.", "caveats": [], "figure_refs": [ "call_1cc60c57:coef.somalia" ] }
- 4Guardaresposta aceita
- Números encontrados
- -0,1435
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa (infer.ols): coef.somalia = -0,1435.
Figuras citadas:call_1cc60c57:coef.somalia· Parada:answeredFigura da resposta:call_1cc60c57:coef.somalia= -0,143497-0.14349694546104602(se 0,0305580.030557979449320673) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximapassouobrigatória
-0.1434969455 vs -0.144
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
56b1b8829323146d037c8256acc855b9a96cd40c509cdd480b5037447c3ad1e5O 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/23d14474a62a65ca150da408dcf9718ecd85ce6a13379edacda8d99cfebcdd91.json | 1,9 KB | 23d14474a62a65ca150da408dcf9718ecd85ce6a13379edacda8d99cfebcdd91 |
| attachments/41e0d7f66fa4a0ceab9bf4bff460f39365befeeb450224bb75931d507adeb02f.json | 2,2 KB | 41e0d7f66fa4a0ceab9bf4bff460f39365befeeb450224bb75931d507adeb02f |
| attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json | 2,4 KB | 433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420 |
| attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json | 64,0 KB | 52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b |
| attachments/55bd4d17cd94981f12dd1a4ebbd5a7779b2147921be06859455c0ab46e84e3a6.json | 1,8 KB | 55bd4d17cd94981f12dd1a4ebbd5a7779b2147921be06859455c0ab46e84e3a6 |
| attachments/6d3e82152859e7e951d768bbdb80a353d073893150f9f1a1b795ccaf8a7e1ac2.json | 280 B | 6d3e82152859e7e951d768bbdb80a353d073893150f9f1a1b795ccaf8a7e1ac2 |
| attachments/980eefa40d9422702aef298a4c047c19bc3c6af80d2b71ab49507023853cac32.json | 142 B | 980eefa40d9422702aef298a4c047c19bc3c6af80d2b71ab49507023853cac32 |
| native/causcibench_real/causcibench_real.q008.e1.a1.json | 1,9 KB | 9b51cc875ff30fc1cef7898c1cab886a1ff20d868f330ea894336b9211949d49 |
| sources/causcibench_real.gold.q008.json | 1,2 KB | db3f376a202af45f73d49b42b6a26e40830bc24ed79f060c61f2b09f71507d4a |
| specs/causcibench_real.q008.json | 5,7 KB | ac8a31cb36871da074002d4d381379095f7d5bf117dae82350c7e828e7ed4299 |
| traces/causcibench_real.q008.e1.a1.jsonl | 14,5 KB | eb7b65fa94e33e5c913d96d03caf3ec8a2e60f153be8fc0d72846549898f8cd3 |
| trajectories/causcibench_real.q008.e1.a1.jsonl | 11,4 KB | 645f16482a7e9618b76777481cbea7ee6746a580dd0fe09548391bca4b8bd0d0 |