{"id":"W4294740330","doi":"10.3390/ijerph191711126","title":"Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Traffic and Road Safety","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Pedestrian; Environmental health; Crash; Signage; Poison control; Injury prevention; Odds; Human factors and ergonomics; Geography; Transport engineering; Logistic regression; Medicine; Computer science; Business; Engineering; Advertising","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":[0.0004771647,0.0002919,0.0002071016,0.0009997698,0.0003768209,0.0006346702,0.000375724,0.0002452278,0.001661009],"category_scores_gemma":[0.00167194,0.0001680963,0.000506339,0.0007517479,0.0002583205,0.0003434981,0.0007639272,0.0002767003,0.0001315368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008319839,"about_ca_system_score_gemma":0.001233242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09112912,"about_ca_topic_score_gemma":0.08417996,"domain_scores_codex":[0.9998134,0.00006254786,0.00001689278,0.00003671098,0.00002362296,0.00004688256],"domain_scores_gemma":[0.9995579,0.0001161905,0.0001466982,0.00003676056,0.00008862957,0.00005373287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000493853,0.00005663699,0.9953763,0.0000529547,0.00005658618,0.0002330436,0.0003879061,0.0002680517,0.0001625456,0.00008733944,0.0001936921,0.003075555],"study_design_scores_gemma":[0.000005766854,0.00004762749,0.9960856,0.00003614194,0.00004169222,0.0000872397,0.002352584,0.0008733148,0.00006562566,0.00009865596,0.0003002641,0.000005516685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988378,0.0001748962,0.0001227914,0.0001024151,0.000002451806,0.00001470306,0.0002645734,0.000003724942,0.000476691],"genre_scores_gemma":[0.9990405,0.0001988823,0.0001170539,0.0000125703,0.000003041108,0.00001629084,0.0002928646,0.000001060029,0.0003176318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09112912,"threshold_uncertainty_score":0.1811974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04794540183664604,"score_gpt":0.308728729734405,"score_spread":0.2607833278977589,"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."}}