{"id":"W4414145213","doi":"10.5206/sc.v16i1.22581","title":"Divergence in Gun Regulation in North America","year":2025,"lang":"en","type":"article","venue":"The Social Contract","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Divergence (linguistics); Legislature; Symbol (formal); Identity (music); Gun control; Legislation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002860897,0.0001443865,0.0004317313,0.002523058,0.01592207,0.005908388,0.0009695311,0.001423304,0.002923501],"category_scores_gemma":[0.006266267,0.0002407388,0.0002436033,0.004600499,0.01087997,0.001561583,0.003889271,0.002788088,0.0001201557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07896046,"about_ca_system_score_gemma":0.06601258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9435629,"about_ca_topic_score_gemma":0.9677988,"domain_scores_codex":[0.9957089,0.0007064711,0.0001134752,0.0004990427,0.001312978,0.001659045],"domain_scores_gemma":[0.9960399,0.001066157,0.0004169851,0.0001413207,0.001502892,0.0008328038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001603994,0.0001278957,0.07107439,0.0002741954,0.00006911304,0.0008101387,0.2381505,0.0007683754,0.001057756,0.5657026,0.01764874,0.1041558],"study_design_scores_gemma":[0.00003899185,0.00007552348,0.3174462,0.0009853413,0.00007019271,0.0002748034,0.2293299,0.0005251772,0.0007624063,0.03964523,0.410687,0.0001592108],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6766401,0.01126378,0.0009930789,0.0428341,0.0002849576,0.0000416995,0.0002141645,0.00002973866,0.2676984],"genre_scores_gemma":[0.9877198,0.002647427,0.0002582654,0.003425266,0.00003019294,0.00002247694,0.0000646671,0.00001367574,0.005818256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07896046,"threshold_uncertainty_score":0.5729009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03740294791240237,"score_gpt":0.3862543930157783,"score_spread":0.348851445103376,"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."}}