{"id":"W2029439145","doi":"10.3138/cjccj.45.4.473","title":"Gun Control: Placing Costs in Context","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Context (archaeology); Control (management); Gun control; Criminology; Psychology; Computer security; Forensic engineering; Engineering; Computer science; Political science; History; Law; Artificial intelligence; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005900435,0.0003431657,0.0006817462,0.001081784,0.0007558307,0.0001857809,0.0007673361,0.0006943578,0.0002573784],"category_scores_gemma":[0.01813526,0.0003678303,0.0001471545,0.0002398424,0.001650288,0.0004193025,0.00002545551,0.001725701,0.00001409353],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002249009,"about_ca_system_score_gemma":0.0107175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08578362,"about_ca_topic_score_gemma":0.6089301,"domain_scores_codex":[0.9938309,0.002219776,0.0007365281,0.000435462,0.0001854304,0.002591909],"domain_scores_gemma":[0.9935383,0.002787438,0.0003527783,0.000283273,0.0005922884,0.002445944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003395962,0.0001017661,0.01813904,0.001055178,0.0001181924,0.01139235,0.1160559,0.0003559184,0.0004036463,0.8173602,0.001123695,0.03355451],"study_design_scores_gemma":[0.002726642,0.0007852527,0.03479606,0.000760106,0.003601154,0.005149169,0.9065865,0.0001483852,0.0001847695,0.009911429,0.03454356,0.0008069267],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706987,0.003703694,0.001028839,0.004189866,0.0006679439,0.0002524593,0.00001813739,0.00002011909,0.01942026],"genre_scores_gemma":[0.9946545,0.001614092,0.0007315085,0.002406696,0.0002688073,0.0000177824,0.000002540077,0.00003280401,0.0002712188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8074487,"threshold_uncertainty_score":0.9998774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1215734674088328,"score_gpt":0.3527333611719156,"score_spread":0.2311598937630827,"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."}}