{"id":"W2055641068","doi":"10.1080/13623690208409647","title":"More guns, more death","year":2002,"lang":"en","type":"article","venue":"Medicine Conflict & Survival","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Toll; Death toll; Business; Economics; Development economics; Medicine; Socioeconomics","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":[0.0009277027,0.0002883339,0.0003493533,0.001328352,0.0006861084,0.002188619,0.0005064189,0.001471819,0.04821796],"category_scores_gemma":[0.008717505,0.0001332913,0.0003048812,0.00115645,0.00143408,0.002304667,0.001630044,0.00162367,0.003012479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006934118,"about_ca_system_score_gemma":0.0004186717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066056,"about_ca_topic_score_gemma":0.001983187,"domain_scores_codex":[0.9988087,0.0004481309,0.0001068989,0.0001570325,0.0003417579,0.0001374118],"domain_scores_gemma":[0.9937063,0.002315038,0.002616176,0.0002650618,0.0005169179,0.0005804559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006452014,0.0005818995,0.4808062,0.002132509,0.0002856189,0.002726615,0.005872139,0.001045677,0.003600318,0.06499321,0.05523004,0.3820806],"study_design_scores_gemma":[0.00007114485,0.0007759662,0.669647,0.001223148,0.0001503963,0.02994542,0.02449656,0.0007547996,0.002146507,0.08303315,0.1876419,0.0001140086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.620447,0.02600235,0.003704962,0.1760665,0.003185638,0.00006807067,0.002788477,0.0001872105,0.1675498],"genre_scores_gemma":[0.9467516,0.009514908,0.001644752,0.01120912,0.001252802,0.0000287283,0.0002661261,0.00002069601,0.02931139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04821796,"threshold_uncertainty_score":0.1613051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1784543650644105,"score_gpt":0.4126126376155103,"score_spread":0.2341582725510998,"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."}}