{"id":"W2136464808","doi":"10.1177/1077801214526045","title":"From Gun Politics to Self-Defense Politics","year":2014,"lang":"en","type":"article","venue":"Violence Against Women","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Gun control; Politics; Self defense; Poison control; Political science; Proxy (statistics); Suicide prevention; Focus (optics); Human factors and ergonomics; Injury prevention; Computer security; Criminology; Law; Sociology; Medicine; Computer science; Medical emergency; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007214267,0.0003654905,0.0004654522,0.001986192,0.005079714,0.009145229,0.0009585753,0.003713879,0.007629924],"category_scores_gemma":[0.009827173,0.0002465857,0.0003107278,0.001676246,0.05933338,0.009033148,0.006277489,0.005782162,0.0004772298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005936306,"about_ca_system_score_gemma":0.003190143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00355149,"about_ca_topic_score_gemma":0.002723638,"domain_scores_codex":[0.992718,0.00493793,0.0001193009,0.0006455451,0.0008862312,0.0006929306],"domain_scores_gemma":[0.9917182,0.006430683,0.0005606053,0.0005226542,0.0004076577,0.0003601734],"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":[0.00000712231,0.000009854213,0.0003614533,0.0000407143,0.000003025645,0.00003762029,0.01253772,0.00004156469,0.00005528754,0.982528,0.001149527,0.003228142],"study_design_scores_gemma":[0.00001817327,0.00003819384,0.00178158,0.0005856031,0.00001168469,0.0001157312,0.05499782,0.0001524254,0.0005091211,0.7952557,0.1465167,0.00001726837],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.144068,0.02523473,0.01139418,0.1935944,0.001354457,0.00002469983,0.00008028147,0.00004480318,0.6242045],"genre_scores_gemma":[0.982541,0.003703715,0.0004004813,0.005135847,0.0004706962,0.00002358728,0.00001497547,0.00002876519,0.007680931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009145229,"threshold_uncertainty_score":0.04307115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953185952178327,"score_gpt":0.317036845735345,"score_spread":0.2975049862135617,"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."}}