{"id":"W4405600230","doi":"10.2196/68002","title":"Spatiotemporal Trends in Deaths From External Causes in Brazil: 23-Year Ecological and Population-Based Study","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Panorama; Geography; Ecology; Population; Series (stratigraphy); Biology; Environmental health; Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011588,0.000310854,0.0004583022,0.001968397,0.0003780619,0.0006619157,0.000485637,0.0003101832,0.000665233],"category_scores_gemma":[0.002892747,0.0002658802,0.001041026,0.002516571,0.0002692896,0.0005955018,0.0008613228,0.0004307755,0.0001478576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017789,"about_ca_system_score_gemma":0.001106021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07238711,"about_ca_topic_score_gemma":0.0867611,"domain_scores_codex":[0.9995123,0.00008622267,0.00009706969,0.0001398654,0.00009371628,0.00007073914],"domain_scores_gemma":[0.9984927,0.000161294,0.0007090444,0.0001388853,0.0003526949,0.0001453458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001515308,0.00001434414,0.9969848,0.00004760892,0.00008040172,0.00006216413,0.000366975,0.00005185307,0.0001361302,0.00006290002,0.000208835,0.001968862],"study_design_scores_gemma":[0.000002469398,0.00003671501,0.9976028,0.00004961291,0.00005841761,0.0001911112,0.0008361467,0.0002185214,0.00004212661,0.00005091574,0.0009037289,0.000007499607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846441,0.002415447,0.0007908557,0.0003239744,0.00001739268,0.00009699406,0.00988197,0.0000281985,0.001801168],"genre_scores_gemma":[0.9949642,0.001144228,0.0005665974,0.0000642032,0.00001011249,0.00006821815,0.003001779,0.000007004169,0.0001736326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07238711,"threshold_uncertainty_score":0.1439315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07061475386151889,"score_gpt":0.4319072649625187,"score_spread":0.3612925111009998,"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."}}