Tarefa causcibench_real.q044
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
Does an increase in Chinese import competition reduce the manufacturing employment share in local labor markets?
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.q044
- Fonte
- CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 44
- Tipo
- benchmark_gold
- Localização
- real_input.json, record id 44: fields effect and std_error
- Trecho
id 44 effect -0.746 std_error 0.063
- Valor como publicado
-0.746- Erro-padrão como publicado
0.063- Valor
- -0,746
-0.746(se 0,0630.063) - 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: -0,746
-0.746· 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 | -0,746-0.746 | — | relativa 0.05 | causcibench_real.gold.q044 | — |
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
Does an increase in Chinese import competition reduce the manufacturing employment share in local labor markets?
autor_china_syndrome(agent)This study assembles a commuting-zone panel for 1990-2007 to quantify how changes in Chinese import exposure relate to U.S. local labor-market outcomes, merging County Business Patterns, Census/ACS, and trade data to track employment, wages, nonemployment, and transfer receipts across places and time. The unit of observation is the commuting zone-year, with baseline characteristics recorded at the start of each period and subsequent changes measured over decade-length intervals. Variables include: czone: Commuting zone identifier statefip: State FIPS code for the commuting zone city: City/metropolitan label linked to the commuting zone yr: Calendar year of observation t2: Time-period indicator (e.g., 1990-2000 vs. 2000-2007 window) timepwt48: Period weight used for aggregating across time intervals reg_midatl: Mid-Atlantic region dummy reg_encen: East North Central region dummy reg_wncen: West North Central region dummy reg_satl: South Atlantic region dummy reg_escen: East South Central region dummy reg_wscen: West South Central region dummy reg_mount: Mountain region dummy reg_pacif: Pacific region dummy l_popcount: Log working-age population count at baseline l_no_workers_totcbp: Log total employment (CBP) at baseline l_shind_manuf_cbp: Baseline share employed in manufacturing industries (CBP) l_sh_popedu_c: Baseline share of population with college education l_sh_popfborn: Baseline share of foreign-born population l_sh_empl_f: Baseline female employment share l_sh_routine33: Baseline share in routine-task occupations l_task_outsource: Baseline task offshorability index (higher = more offshorable) l_sh_empl: Baseline employment-to-population share l_sh_empl_mfg: Baseline manufacturing employment share l_sh_empl_mfg_m: Baseline male manufacturing employment share l_sh_empl_mfg_f: Baseline female manufacturing employment share l_sh_empl_mfg_edu_nc: Baseline manufacturing share, non-college l_sh_empl_mfg_edu_c: Baseline manufacturing share, college l_sh_empl_mfg_age1634: Baseline manufacturing share, ages 16-34 l_sh_empl_mfg_age3549: Baseline manufacturing share, ages 35-49 l_sh_empl_mfg_age5064: Baseline manufacturing share, ages 50-64 l_sh_empl_nmfg: Baseline nonmanufacturing employment share l_sh_empl_nmfg_m: Baseline male nonmanufacturing employment share l_sh_empl_nmfg_f: Baseline female nonmanufacturing employment share l_sh_empl_nmfg_edu_nc: Baseline nonmanufacturing share, non-college l_sh_empl_nmfg_edu_c: Baseline nonmanufacturing share, college l_sh_empl_nmfg_age1634: Baseline nonmanufacturing share, ages 16-34 l_sh_empl_nmfg_age3549: Baseline nonmanufacturing share, ages 35-49 l_sh_empl_nmfg_age5064: Baseline nonmanufacturing share, ages 50-64 l_sh_unempl: Baseline unemployment share l_sh_unempl_m: Baseline male unemployment share l_sh_unempl_f: Baseline female unemployment share l_sh_unempl_edu_nc: Baseline unemployment share, non-college l_sh_unempl_edu_c: Baseline unemployment share, college l_sh_unempl_age1634: Baseline unemployment share, ages 16-34 l_sh_unempl_age3549: Baseline unemployment share, ages 35-49 l_sh_unempl_age5064: Baseline unemployment share, ages 50-64 l_sh_nilf: Baseline not-in-labor-force share l_sh_nilf_m: Baseline NILF share, male l_sh_nilf_f: Baseline NILF share, female l_sh_nilf_edu_nc: Baseline NILF share, non-college l_sh_nilf_edu_c: Baseline NILF share, college l_sh_nilf_age1634: Baseline NILF share, ages 16-34 l_sh_nilf_age3549: Baseline NILF share, ages 35-49 l_sh_nilf_age5064: Baseline NILF share, ages 50-64 l_sh_ssadiswkrs: Baseline share on SSDI (disabled workers) l_avg_lnwkwage_mfg: Baseline log average weekly wage in manufacturing l_avg_lnwkwage_nmfg: Baseline log average weekly wage in nonmanufacturing l_trans_totindiv_pc: Baseline per-capita total individual transfers l_trans_totmed_pc: Baseline per-capita total Medicare transfers l_trans_fedinc_pc: Baseline per-capita federal income assistance l_trans_othinc_pc: Baseline per-capita other income assistance l_trans_unemp_pc: Baseline per-capita unemployment benefits l_trans_taaimp_pc: Baseline per-capita Trade Adjustment Assistance payments l_trans_totedu_pc: Baseline per-capita education-related transfers l_trans_ssaret_pc: Baseline per-capita Social Security retirement l_trans_ssadis_pc: Baseline per-capita Social Security disability l_avg_hhincsum_pc_pw: Baseline per-worker average household total income per capita l_avg_hhincwage_pc_pw: Baseline per-worker average household wage income per capita l_tradeusch_pw: Baseline U.S. imports-from-China exposure per worker l_tradeotch_pw: Baseline China exports to other high-income markets exposure per worker d_tradeusch_pw: Change in U.S. imports-from-China exposure per worker d_tradeotch_pw_lag: Lagged change in China-to-others exposure per worker lnchg_popworkage: Log change in working-age population lnchg_popworkage_edu_c: Log change in working-age population, college lnchg_popworkage_edu_nc: Log change in working-age population, non-college lnchg_popworkage_age1634: Log change, ages 16-34 lnchg_popworkage_age3549: Log change, ages 35-49 lnchg_popworkage_age5064: Log change, ages 50-64 d_popcount: Change in population count d_sh_empl: Change in employment-to-population share d_sh_empl_mfg: Change in manufacturing employment share d_sh_empl_nmfg: Change in nonmanufacturing employment share d_sh_empl_mfg_m: Change in male manufacturing employment share d_sh_empl_nmfg_m: Change in male nonmanufacturing employment share d_sh_empl_mfg_f: Change in female manufacturing employment share d_sh_empl_nmfg_f: Change in female nonmanufacturing employment share d_sh_empl_mfg_edu_nc: Change in manufacturing share, non-college d_sh_empl_nmfg_edu_nc: Change in nonmanufacturing share, non-college d_sh_empl_mfg_edu_c: Change in manufacturing share, college d_sh_empl_nmfg_edu_c: Change in nonmanufacturing share, college d_sh_empl_mfg_age1634: Change in manufacturing share, ages 16-34 d_sh_empl_nmfg_age1634: Change in nonmanufacturing share, ages 16-34 d_sh_empl_mfg_age3549: Change in manufacturing share, ages 35-49 d_sh_empl_nmfg_age3549: Change in nonmanufacturing share, ages 35-49 d_sh_empl_mfg_age5064: Change in manufacturing share, ages 50-64 d_sh_empl_nmfg_age5064: Change in nonmanufacturing share, ages 50-64 d_sh_empl_edu_c: Change in overall employment share, college d_sh_empl_edu_nc: Change in overall employment share, non-college d_sh_unempl: Change in unemployment share d_sh_unempl_m: Change in male unemployment share d_sh_unempl_f: Change in female unemployment share d_sh_unempl_edu_nc: Change in unemployment share, non-college d_sh_unempl_edu_c: Change in unemployment share, college d_sh_unempl_age1634: Change in unemployment share, ages 16-34 d_sh_unempl_age3549: Change in unemployment share, ages 35-49 d_sh_unempl_age5064: Change in unemployment share, ages 50-64 d_sh_nilf: Change in not-in-labor-force share d_sh_nilf_m: Change in NILF share, male d_sh_nilf_f: Change in NILF share, female d_sh_nilf_edu_nc: Change in NILF share, non-college d_sh_nilf_edu_c: Change in NILF share, college d_sh_nilf_age1634: Change in NILF share, ages 16-34 d_sh_nilf_age3549: Change in NILF share, ages 35-49 d_sh_nilf_age5064: Change in NILF share, ages 50-64 d_sh_ssadiswkrs: Change in SSDI recipient share d_avg_lnwkwage: Change in log average weekly wage (overall) d_avg_lnwkwage_c: Change in log average weekly wage, college d_avg_lnwkwage_nc: Change in log average weekly wage, non-college d_avg_lnwkwage_m: Change in log average weekly wage, male d_avg_lnwkwage_f: Change in log average weekly wage, female d_avg_lnwkwage_c_m: Change in log average weekly wage, college males d_avg_lnwkwage_c_f: Change in log average weekly wage, college females d_avg_lnwkwage_nc_m: Change in log average weekly wage, non-college males d_avg_lnwkwage_nc_f: Change in log average weekly wage, non-college females d_avg_lnwkwage_mfg: Change in log average weekly wage in manufacturing d_avg_lnwkwage_mfg_c: Change in log manufacturing wage, college d_avg_lnwkwage_mfg_nc: Change in log manufacturing wage, non-college d_avg_lnwkwage_nmfg: Change in log average weekly wage in nonmanufacturing d_avg_lnwkwage_nmfg_c: Change in log nonmanufacturing wage, college d_avg_lnwkwage_nmfg_nc: Change in log nonmanufacturing wage, non-college lnchg_no_empl: Log change in number employed lnchg_no_empl_mfg: Log change in manufacturing employment count lnchg_no_empl_nmfg: Log change in nonmanufacturing employment count lnchg_no_empl_mfg_edu_nc: Log change in manufacturing employment, non-college lnchg_no_empl_nmfg_edu_nc: Log change in nonmanufacturing employment, non-college lnchg_no_empl_mfg_edu_c: Log change in manufacturing employment, college lnchg_no_empl_nmfg_edu_c: Log change in nonmanufacturing employment, college lnchg_no_unempl: Log change in number unemployed lnchg_no_nilf: Log change in number not in labor force lnchg_no_ssadiswkrs: Log change in number receiving SSDI lnchg_trans_totindiv_pc: Log change in per-capita total transfers lnchg_trans_totmed_pc: Log change in per-capita Medicare transfers lnchg_trans_fedinc_pc: Log change in per-capita federal income assistance lnchg_trans_othinc_pc: Log change in per-capita other income assistance lnchg_trans_unemp_pc: Log change in per-capita unemployment benefits lnchg_trans_taaimp_pc: Log change in per-capita TAA payments lnchg_trans_totedu_pc: Log change in per-capita education transfers lnchg_trans_ssaret_pc: Log change in per-capita Social Security retirement lnchg_trans_ssadis_pc: Log change in per-capita Social Security disability d_trans_totindiv_pc: Change in per-capita total transfers d_trans_totmed_pc: Change in per-capita Medicare transfers d_trans_fedinc_pc: Change in per-capita federal income assistance d_trans_othinc_pc: Change in per-capita other income assistance d_trans_unemp_pc: Change in per-capita unemployment benefits d_trans_taaimp_pc: Change in per-capita TAA payments d_trans_totedu_pc: Change in per-capita education transfers d_trans_ssaret_pc: Change in per-capita Social Security retirement d_trans_ssadis_pc: Change in per-capita Social Security disability relchg_avg_hhincsum_pc_pw: Relative change in per-worker average household total income per capita relchg_avg_hhincwage_pc_pw: Relative change in per-worker average household wage income per capita relchg_avg_hhincbusinv_pc_pw: Relative change in per-worker average household business/investment income per capita relchg_avg_hhinctrans_pc_pw: Relative change in per-worker average household transfer income per capita relchg_avg_hhincrest_pc_pw: Relative change in per-worker average household residual income per capita relchg_med_hhincsum_pc_pw: Relative change in per-worker median household total income per capita relchg_med_hhincwage_pc_pw: Relative change in per-worker median household wage income per capita d_avg_hhincsum_pc_pw: Change in per-worker average household total income per capita d_avg_hhincwage_pc_pw: Change in per-worker average household wage income per capita d_avg_hhincbusinv_pc_pw: Change in per-worker average household business/investment income per capita d_avg_hhinctrans_pc_pw: Change in per-worker average household transfer income per capita d_avg_hhincrest_pc_pw: Change in per-worker average household residual income per capita d_med_hhincsum_pc_pw: Change in per-worker median household total income per capita d_med_hhincwage_pc_pw: Change in per-worker median household wage income per capita d_tradex_usch_pw: Change in exposure to U.S. exports to China per worker d_tradex_otch_pw_lag: Lagged change in exposure to China's exports to other high-income markets per worker d_tradeusch_netinput_pw: Change in net trade exposure per worker using input linkages d_inputotch_pw_lag: Lagged change in input-based China-to-others exposure per worker d_netimpusch_pw: Change in net imports-from-China exposure per worker d_expotch_pw_lag: Lagged change in exposure to Chinese exports per worker d_traderes_pw_lag: Lagged change in residual trade exposure per worker d_nettradefactor_usch_io: Change in factor-based net trade exposure (U.S.-China, input-output weighted) d_tradefactor_otch_lag_io: Lagged change in factor-based China-to-others exposure (IO weighted) d_expfactor_otch_lag_io: Lagged change in factor-based China export exposure (IO weighted) d_tradeuschlw_pw: Change in low-wage-weighted U.S. import exposure per worker d_tradeotchlw_pw_lag: Lagged change in low-wage-weighted China-to-others exposure per worker d_tradeuschce_pw: Change in consumption-expenditure-weighted U.S. import exposure per worker d_tradeotchce_pw_lag: Lagged change in consumption-expenditure-weighted China-to-others exposure per worker d_tradeusce_pw: Change in U.S. consumption-weighted import exposure per worker d_tradeotce_pw_lag: Lagged change in others' consumption-weighted China exposure per worker d_tradeushi_pw: Change in high-income-weighted U.S. import exposure per worker d_tradeothi_pw_lag: Lagged change in high-income-weighted China-to-others exposure per worker
file603a026947701601a2216badd278060457f392a999eebf58ecbd09d41cb6b155· frame — - 1Turno do modelo
call_4cd21242rules-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
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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
2ad0d8b0515bb3b0a0128f0faa500c27dccb99189cca97c344a90461ad436826O 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/c396d5c9dae3880983b7979d303093904108b840320d8d72cdee6250aabe47ad.json | 20,6 KB | c396d5c9dae3880983b7979d303093904108b840320d8d72cdee6250aabe47ad |
| attachments/e2cb1f71c462ff5b25166ed23fa2c7ee5affe75c6a5bf6a17ea7fc65acc10aa4.json | 137 B | e2cb1f71c462ff5b25166ed23fa2c7ee5affe75c6a5bf6a17ea7fc65acc10aa4 |
| native/causcibench_real/causcibench_real.q044.e1.a1.json | 1,5 KB | f1ca29acaa4db070bc550e07cce567ba0db89e55fafdac72522642a347d7cc1f |
| sources/causcibench_real.gold.q044.json | 1,2 KB | 6aefdd0a12b2fd19fa16672e509376cb438d27e2b7c701f0e907ed38a73b7be6 |
| specs/causcibench_real.q044.json | 17,0 KB | c96d66095fda313d825d2637603f316b2ec38ae3798b544273107832c2b90c89 |
| traces/causcibench_real.q044.e1.a1.jsonl | 26,2 KB | 125e8b6bd82a2020a4c6c310b4335b74ced49c45d27e2360c56b4c7d62f34de6 |
| trajectories/causcibench_real.q044.e1.a1.jsonl | 16,4 KB | 68e6632f51fd58c08181e1ed147f03d79cf172b064876a06ea2e562a6dbcedd7 |