{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005050467,0.0002457139,0.0003089154,0.001607139,0.000328454,0.000712015,0.0003754182,0.0003793509,0.001954203],"category_scores_gemma":[0.003049863,0.0002581383,0.0006355213,0.002073048,0.0003428838,0.0004706725,0.0007874997,0.0003278911,0.0001543987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001348164,"about_ca_system_score_gemma":0.001131181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08343463,"about_ca_topic_score_gemma":0.09340861,"domain_scores_codex":[0.9995098,0.000140883,0.00006335106,0.00006761685,0.0001182792,0.00009998213],"domain_scores_gemma":[0.99821,0.0003275683,0.0009660976,0.00008693738,0.0002047213,0.0002047373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003776306,0.00007761893,0.9945601,0.00007078731,0.00008440076,0.0001488343,0.000474053,0.0001642884,0.0001253277,0.0003326344,0.0003201489,0.003604246],"study_design_scores_gemma":[0.000002747426,0.00003639878,0.9979572,0.0000413737,0.00002432805,0.0001821153,0.0008317344,0.0003365653,0.00001845551,0.00006896086,0.0004954939,0.000004562712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948699,0.000749718,0.00008145128,0.0004210576,0.000005599369,0.00002213694,0.001610997,0.000005641478,0.002233582],"genre_scores_gemma":[0.9990417,0.0003949481,0.00006264346,0.00002873094,0.000004892069,0.000008551454,0.0003532653,0.00000203001,0.0001032691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08343463,"threshold_uncertainty_score":0.165898,"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."}}