{"id":"W4408432325","doi":"10.1590/acb402525","title":"Public health system expenditure on motor vehicle collisions in Brazil: an ecological study","year":2025,"lang":"en","type":"article","venue":"Acta Cirúrgica Brasileira","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Children's Hospital","funders":"","keywords":"Autoregressive integrated moving average; Per capita; Environmental health; Ecological study; Geography; Population; Regression analysis; Public health; Injury prevention; Medicine; Demography; Poison control; Socioeconomics; Time series; Statistics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004447925,0.0002786698,0.0004715226,0.0003085844,0.0002417969,0.00008961807,0.0004738902,0.0002145207,0.00007855817],"category_scores_gemma":[0.00004608829,0.0002385091,0.00008130752,0.0006150644,0.00003294694,0.0002115028,0.00007402503,0.0005062458,0.00005913088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004835102,"about_ca_system_score_gemma":0.0001263321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003575291,"about_ca_topic_score_gemma":0.0002763964,"domain_scores_codex":[0.9979522,0.0002496016,0.0004929317,0.0004616582,0.0002546482,0.0005889179],"domain_scores_gemma":[0.998875,0.0002150448,0.00004963888,0.0005666544,0.00002729552,0.0002664053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000457805,0.02166086,0.7706368,0.001072115,0.0007230162,0.0008647961,0.0127036,0.06288815,0.001259611,0.05217259,0.05065693,0.02490372],"study_design_scores_gemma":[0.001353598,0.0005044132,0.9783999,0.0000759613,0.000006914877,0.00000464302,0.003049771,0.009899375,0.000008814503,0.00000482017,0.006456055,0.0002357079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859249,0.0001127854,0.0000784037,0.0007369983,0.0006790459,0.001031278,0.00005177377,0.0009682775,0.01041655],"genre_scores_gemma":[0.999079,0.00001532726,0.00006749971,0.0003494359,0.00009213868,0.0001468693,0.00003132945,0.00003398346,0.000184441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2077631,"threshold_uncertainty_score":0.972612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501553813729992,"score_gpt":0.2856856369058738,"score_spread":0.2506700987685739,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}