Tarefa causcibench_real.q030
causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171122Z-suite-causcibench_real-baseline-4f971bVeredito
no answer figure: the answer cites no effect of an estimator call-1.223Pergunta feita ao analista
What is the effect of fish prices on quantity demanded?
Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.
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
graddy_markets_fulton— The dataset was collected from the Fulton Fish Market, a historic wholesale fish market in New York City. The purpose of the data collection was to examine the economic and institutional dynamics of how the market functioned. Fish were sold in bulk to a wide range of buyers, including restaurants, retail shops, and independent vendors. Transactions typically took place in the early morning hours, with prices and quantities influenced by factors such as day of the week, weather conditions, and supply levels. Sales were higher on Mondays, Thursdays, and Fridays, compared to Tuesdays and Wednesdays. Sellers in the market set prices individually for each customer. The dataset focuses specifically on whiting, a commonly traded fish in the market. Price information was gathered directly through daily visits to the market and from reports provided by salesmen. Variables: mon: 1 if the day is Monday, 0 otherwise tu: 1 if the day is Tuesday, 0 otherwise wed: 1 if the day is Wednesday, 0 otherwise thu: 1 if the day is Thursday, 0 otherwise date: Date in Year Month Day format stormy: whether or not the weather was stormy; 1 if stormy, 0 otherwise mixed: 1 if the weather was mixed, 0 otherwise p: logarithm of the price per pound q: logarithm of the total quantity sold in pounds rainy: 1 if the weather was rainy, 0 otherwise cold: 1 if the weather was cold, 0 otherwise wind: wind speed - 2Conferência de lastro e resposta final
Todos os 0 números escritos na resposta foram conferidos contra as ferramentas e o enunciado (nenhum número sem lastro).
- #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.q030
- Fonte
- CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 30
- Tipo
- benchmark_gold
- Localização
- real_input.json, record id 30: fields effect and std_error
- Trecho
id 30 effect -1.223 std_error 0.524
- Valor como publicado
-1.223- Erro-padrão como publicado
0.524- Valor
- -1,223
-1.223(se 0,5240.524) - 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: -1,223
-1.223· relativa 0.05
Especificação técnica do gabarito
CauSciBench real_input.json @ d9bb43a, id 30: effect -1.223
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| no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | -1,223-1.223 | — | relativa 0.05 | causcibench_real.gold.q030 | — |
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
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
What is the effect of fish prices on quantity demanded?
graddy_markets_fulton(agent)The dataset was collected from the Fulton Fish Market, a historic wholesale fish market in New York City. The purpose of the data collection was to examine the economic and institutional dynamics of how the market functioned. Fish were sold in bulk to a wide range of buyers, including restaurants, retail shops, and independent vendors. Transactions typically took place in the early morning hours, with prices and quantities influenced by factors such as day of the week, weather conditions, and supply levels. Sales were higher on Mondays, Thursdays, and Fridays, compared to Tuesdays and Wednesdays. Sellers in the market set prices individually for each customer. The dataset focuses specifically on whiting, a commonly traded fish in the market. Price information was gathered directly through daily visits to the market and from reports provided by salesmen. Variables: mon: 1 if the day is Monday, 0 otherwise tu: 1 if the day is Tuesday, 0 otherwise wed: 1 if the day is Wednesday, 0 otherwise thu: 1 if the day is Thursday, 0 otherwise date: Date in Year Month Day format stormy: whether or not the weather was stormy; 1 if stormy, 0 otherwise mixed: 1 if the weather was mixed, 0 otherwise p: logarithm of the price per pound q: logarithm of the total quantity sold in pounds rainy: 1 if the weather was rainy, 0 otherwise cold: 1 if the weather was cold, 0 otherwise wind: wind speed
file8483868338caa50ffd745475890ce33fd2c24bee6980c5b01f67827008ce6e04· frame — - 1Turno do modelo
call_4bd09e87rules-1Fim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.", "caveats": [], "figure_refs": [] }
- 2Guardaresposta aceita
- Números encontrados
- —
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 3Resposta
Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.
Figuras citadas:—· Parada:answered - 4Pontuação#0resposta com lastropassouobrigatória
every number backed - 5Pontuação#1figura da resposta próximafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call
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
8fda4f5320ee2447a04f651f4bfd8276d5d98f004c4154c3969df090cdfdfc7eO 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/275c960c317de7c3751e505962bb1054c3da8d0fd093efc2d300db452c503caf.json | 1,9 KB | 275c960c317de7c3751e505962bb1054c3da8d0fd093efc2d300db452c503caf |
| attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json | 2,4 KB | 433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420 |
| attachments/4c23c40ed03c60fe83e5f6d240ca2f9d93f4e9b13f68938b9862e541e82e3758.json | 80 B | 4c23c40ed03c60fe83e5f6d240ca2f9d93f4e9b13f68938b9862e541e82e3758 |
| attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json | 64,0 KB | 52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b |
| native/causcibench_real/causcibench_real.q030.e1.a1.json | 1,4 KB | e8bd31d08f4c14e185d177424e741b17b7fab6cc652ba77fd5898cefeb2d2fa6 |
| sources/causcibench_real.gold.q030.json | 1,2 KB | bb337718073c4d544e7df0c998302ca688048d686da2cdd3c6846197f8066b03 |
| specs/causcibench_real.q030.json | 5,1 KB | f47575b11568f64f7d9b996f98c5a09e33e956df7b834922a4bee1b5edcee88e |
| traces/causcibench_real.q030.e1.a1.jsonl | 7,4 KB | 6ed5ad7da6f9b9fdbec1015223d707b0d018d71d9784a0724ba26a60b7f608e8 |
| trajectories/causcibench_real.q030.e1.a1.jsonl | 4,8 KB | f9ece456aea082f9f9747a7720af52a614210950bf366a599e30331e85c6531f |