{"id":"W4319062303","doi":"10.1371/journal.pone.0266579","title":"Mass homicide by firearm in Canada: Effects of legislation","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Homicide; Demography; Poison control; Medicine; Injury prevention; Incidence (geometry); Suicide prevention; Medical emergency; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002762551,0.0007697645,0.001099586,0.00184887,0.001899106,0.002464553,0.002256807,0.0009557593,0.00494124],"category_scores_gemma":[0.007538667,0.0006239161,0.002420063,0.002426929,0.001037415,0.0008257476,0.001592651,0.001795043,0.0003764984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0785966,"about_ca_system_score_gemma":0.07830392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978758,"about_ca_topic_score_gemma":0.9966745,"domain_scores_codex":[0.9976678,0.0004307679,0.0001078168,0.0002993598,0.0005824344,0.0009117599],"domain_scores_gemma":[0.9951032,0.001034659,0.0008244294,0.0002043775,0.001900494,0.0009327143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006379783,0.0002230401,0.9488692,0.0002237563,0.0009324612,0.000335226,0.0004044785,0.02492171,0.0002923807,0.002886123,0.00551131,0.01476229],"study_design_scores_gemma":[0.000196478,0.0003444437,0.9162048,0.0002054258,0.0009521303,0.0001067424,0.001120646,0.07289829,0.0003094471,0.0008080082,0.006766144,0.00008743453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723445,0.004285222,0.0007439557,0.005579969,0.0001011444,0.0001756458,0.008233415,0.0001352809,0.008400854],"genre_scores_gemma":[0.9895573,0.002186687,0.0004677296,0.0003611893,0.00001918624,0.0000313801,0.002490653,0.00002042729,0.004865316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0785966,"threshold_uncertainty_score":0.5702609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05545168631161639,"score_gpt":0.2855518290288061,"score_spread":0.2301001427171897,"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."}}