Tarefa causcibench_real.q020
causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171122Z-suite-causcibench_real-baseline-4f971bVeredito
no answer figure: the answer cites no effect of an estimator call-0.022Pergunta feita ao analista
Did changing California's organ donation registration from opt-in to active choice in July 2011 (3rd quarter) increase donation rates compared to states that kept their existing systems?
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
kessler_dont_take— The data focuses on the Uruguayan Plan de Atencion Nacional a la Emergencia Social (PANES), described as a large, temporary social relief program. PANES ran from April 2005 to December 2007. PANES included several components. The main part was a monthly cash transfer. Eligibility for the PANES program was determined using a predicted income score. This score was based on household socioeconomic characteristics collected during a baseline survey. Households were eligible only if their predicted income score fell below a predetermined threshold. Variables: income_centered: Income measure, centered around program cutoff (negative value = eligible) education: Household average years of education among those 16+ age: Household average age participation: Participation in transfers (1 = participated, 0 = did not participate) support: Measure of support for the government" "The state of California enacted an active-choice phrasing for their organ donation sign-up question in Q3 2011. Data was collected on actual organ donation registration rates in California and other U.S. states over time. The dataset includes quarterly registration rate data from California and other states for the period from Q4 2010 to Q1 2012. Dataset Variables: state: The state, where California is the Treated group quarter: Quarter of observation, in Q-QYYYY format (Q4 2010 means 4th quarter of 2010) rate: Organ donation rate quarter_num: Quarter of observation in numerical format (1 = Quarter 4, 2010) - 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.q020
- Fonte
- CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 20
- Tipo
- benchmark_gold
- Localização
- real_input.json, record id 20: fields effect and std_error
- Trecho
id 20 effect -0.022 std_error 0.006
- Valor como publicado
-0.022- Erro-padrão como publicado
0.006- Valor
- -0,022
-0.022(se 0,0060.006) - 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: -0,022
-0.022· relativa 0.05
Especificação técnica do gabarito
CauSciBench real_input.json @ d9bb43a, id 20: effect -0.022
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 | -0,022-0.022 | — | relativa 0.05 | causcibench_real.gold.q020 | — |
Caminho de referência e caminho do agente
A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.
Nenhum caminho de referência registrado para esta tarefa.
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
Did changing California's organ donation registration from opt-in to active choice in July 2011 (3rd quarter) increase donation rates compared to states that kept their existing systems?
kessler_dont_take(agent)The data focuses on the Uruguayan Plan de Atencion Nacional a la Emergencia Social (PANES), described as a large, temporary social relief program. PANES ran from April 2005 to December 2007. PANES included several components. The main part was a monthly cash transfer. Eligibility for the PANES program was determined using a predicted income score. This score was based on household socioeconomic characteristics collected during a baseline survey. Households were eligible only if their predicted income score fell below a predetermined threshold. Variables: income_centered: Income measure, centered around program cutoff (negative value = eligible) education: Household average years of education among those 16+ age: Household average age participation: Participation in transfers (1 = participated, 0 = did not participate) support: Measure of support for the government" "The state of California enacted an active-choice phrasing for their organ donation sign-up question in Q3 2011. Data was collected on actual organ donation registration rates in California and other U.S. states over time. The dataset includes quarterly registration rate data from California and other states for the period from Q4 2010 to Q1 2012. Dataset Variables: state: The state, where California is the Treated group quarter: Quarter of observation, in Q-QYYYY format (Q4 2010 means 4th quarter of 2010) rate: Organ donation rate quarter_num: Quarter of observation in numerical format (1 = Quarter 4, 2010)
fileb4b97dcdeaa6057f22f03248dc3a6e2251efe47be307d0807fa85ddc1c775c13· frame — - 1Turno do modelo
call_3722a206rules-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
2b1fa2625e99e5fb932b8b1542946580baf5b22ce164656799638c2e55ef931dO 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/1cbf05415e00dacdb56ff7810637aea243d8ae6886b36e2259c65c6176b10150.json | 211 B | 1cbf05415e00dacdb56ff7810637aea243d8ae6886b36e2259c65c6176b10150 |
| attachments/3d6fac517fd711801c9f99598f6ca034ab5d6fef6cd012c582a6cbb8e9e98686.json | 1,8 KB | 3d6fac517fd711801c9f99598f6ca034ab5d6fef6cd012c582a6cbb8e9e98686 |
| attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json | 2,4 KB | 433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420 |
| attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json | 64,0 KB | 52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b |
| native/causcibench_real/causcibench_real.q020.e1.a1.json | 1,6 KB | 9814da57de907ad1d8d18d8bf67a250c442026d695bda5691e0a77ba0eeb6938 |
| sources/causcibench_real.gold.q020.json | 1,2 KB | 16de7140c5f6b62bbbd6ed1855dffdad379d0301faa5c1a3df15e0ddd49d93bc |
| specs/causcibench_real.q020.json | 5,2 KB | 7d3489600ab655cbcd10ac1aa7832e32e69e59309670ad62443b5c2c6f70a7ed |
| traces/causcibench_real.q020.e1.a1.jsonl | 7,4 KB | 8c6acca8ca9e711678b26cd6d801abb52e99d10e1a6303369bece12de5533d8c |
| trajectories/causcibench_real.q020.e1.a1.jsonl | 5,0 KB | 705ce0b2e093e35d420c47ae477a03ae307bce02702a856e2dca79f37a0583b8 |