Tarefa causcibench_real.q050
causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171122Z-suite-causcibench_real-baseline-4f971bVeredito
no answer figure: the answer cites no effect of an estimator callPergunta feita ao analista
What is the effect of CompStat adoption on the number of Part 2 arrests?
Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.
Valores esperados e de onde vêm
causcibench_real.gold.q050
- Fonte
- CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 50
- Tipo
- benchmark_gold
- Localização
- real_input.json, record id 50: fields effect and std_error
- Trecho
id 50 effect 20471.057 std_error 6339.787
- Valor como publicado
20471.057- Erro-padrão como publicado
6339.787- Valor
- 20.471,1
20471.057(se 6.339,796339.787) - 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: 20.471,1
20471.057· 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 no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | 20.471,120471.057 | — | relativa 0.05 | causcibench_real.gold.q050 | — |
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 CompStat adoption on the number of Part 2 arrests?
eckhouse_metrics_management(agent)This dataset is an agency-year panel that links police-reported crime, clearances, and unfounded counts to population, mortality, and local political context, tracking the timing and status of metrics-focused management practices within U.S. law enforcement agencies. The unit of observation is the police agency by calendar year, identified by a standard agency code and geographic identifiers. The variables are: AGENCY: Agency name used in reporting YEAR: Calendar year of the observation for the agency ORI: Agency's Originating Agency Identifier used in federal crime reporting systems STATE: State of the agency's jurisdiction COUNTY: County of the agency's jurisdiction POP: Jurisdiction population for the agency-year (denominator for rate variables) COMPSTAT: Indicator for adoption of a metrics-focused management program by the agency COMPSTATDATE: Date (or year) of the agency's program adoption as recorded in the source HASCOMPSTAT: Indicator equal to 1 in years at or after adoption, and 0 otherwise YEAR.UNFOUNDED.MURDER: Count of homicides deemed unfounded in the agency-year YEAR.UNFOUNDED.RAPE.TOT: Count of rapes deemed unfounded in the agency-year YEAR.UNFOUND.AUTO.THFT: Count of motor vehicle thefts deemed unfounded in the agency-year YEAR.ACT.NUM.MURDER: Count of homicide offenses known to the agency in the year (UCR ""actual"" offenses) YEAR.ACT.NUM.RAPE.TOT: Count of rape offenses known to the agency in the year YEAR.ACT.NUM.ASSAULT.TOT: Count of aggravated assault offenses known to the agency in the year YEAR.ACT.VHC.THFT.TOT: Count of motor vehicle theft offenses known to the agency in the year YEAR.ACT.ALL.FIELDS: Total ""actual"" offenses across included categories in the agency-year YEAR.TOT.CLR.MURDER: Number of homicide offenses cleared (by arrest or exceptional means) in the agency-year YEAR.TOT.CLR.RAPE.TOT: Number of rape offenses cleared in the agency-year YEAR.TOT.CLR.ASSAULT.TOT: Number of aggravated assaults cleared in the agency-year; YEAR.TOT.CLR.VHC.THFT.TOT: Number of motor vehicle thefts cleared in the agency-year YEAR.TOT.CLR.ALL.FIELDS: Total clearances across included categories in the agency-year SHAREPT2: Share of Part II arrests in total arrests (proportion) clearrate: Overall clearance rate across included offense categories (clearances divided by offenses) unfoundrapepct: Percent of reported rapes deemed unfounded murderclearrate: Clearance rate for homicide rapeclearrate: Clearance rate for rape assaultclearrate: Clearance rate for aggravated assault unfoundmurderpct: Percent of reported homicides deemed unfounded unfoundassaultpct: Percent of reported aggravated assaults deemed unfounded PART1arrests: Count of arrests for UCR Part I offenses in the agency-year PART2arrests: Count of arrests for UCR Part II offenses in the agency-year popblackpct: Percent of the jurisdiction's population identified as Black/African American popwhitepct: Percent of the jurisdiction's population identified as White unfoundautopct: Percent of reported motor vehicle thefts deemed unfounded yearssincecompstat: Years elapsed since the agency's adoption year (constructed relative to COMPSTATDATE) FIPS_PLACE_ID: FIPS place identifier for the agency's primary jurisdiction cdcHomicide: Cause-specific mortality measure for homicide matched to the agency's geography (level/units follow source coding) cdcSuicide: Cause-specific mortality measure for suicide matched to the agency's geography (level/units follow source coding) cdcUndetermined: Cause-specific mortality measure for undetermined intent matched to the agency's geography (level/units follow source coding) cdcUnintentional: Cause-specific mortality measure for unintentional injury matched to the agency's geography (level/units follow source coding) haselection: Indicator equal to 1 if a relevant local election occurred for the agency's jurisdiction in that year years_since_election: Years since the most recent relevant local election for the agency's jurisdiction partisantotal: Summary measure of local political partisanship for the jurisdiction (construction follows source coding) incidentsperpop: Total incidents per population (offenses divided by POP), a per-capita incident rate autoclearrate: Clearance rate for motor vehicle theft YEAR.ACT.NUM.KILLINGS: Count of killings as coded in the source (maintained separately from homicide for internal consistency and checks)
fileb303608e3fc216acfb6520b968a7a6de354eb1248fdd53ac70671f7eb04f1298· frame — - 1Turno do modelo
call_2a015401rules-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
5eed485c1648e476e73265eaf6ce44b1b468b45786bd27b239ec8465f927f88fO 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/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json | 2,4 KB | 433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420 |
| attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json | 64,0 KB | 52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b |
| attachments/7a8188b9c208aab706ed0862cc67139cf91487eff41a51f4de07896e1b777b74.json | 6,2 KB | 7a8188b9c208aab706ed0862cc67139cf91487eff41a51f4de07896e1b777b74 |
| attachments/f09b9b422dcff5e6d63acea512ab68d2542604b8ee0210d4adc7899eede9c43e.json | 97 B | f09b9b422dcff5e6d63acea512ab68d2542604b8ee0210d4adc7899eede9c43e |
| native/causcibench_real/causcibench_real.q050.e1.a1.json | 1,5 KB | 48c55b77c180a53d1ac002b4204415b7f742214e0666cc314b234e44e507e88b |
| sources/causcibench_real.gold.q050.json | 1,2 KB | 18b959265f05e9567d7bcf05f9dcdd440cffb6616bb310308ddf5d9c3480da29 |
| specs/causcibench_real.q050.json | 8,5 KB | 0f8ea40f4013920ac0881f19c1f14892f3b37c9789053cd0492c543b365f3f2e |
| traces/causcibench_real.q050.e1.a1.jsonl | 11,8 KB | 235eeb509d084e0ddd7b7981a1e465b4bda3cd9bc05f005f6d121c65f23b7392 |
| trajectories/causcibench_real.q050.e1.a1.jsonl | 7,8 KB | 7e72608adcb5610cf56cb16819ab44509bc6c8b5c78bbbf184c15fa4a4b6c57f |