{"id":"W4282976907","doi":"10.1016/j.ypmed.2022.107110","title":"The association between gun shows and firearm injuries: An analysis of 259 gun shows across 23 US cities","year":2022,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Medicine; Poisson regression; Gun violence; Injury prevention; Poison control; Demography; Confounding; Emergency medicine; Environmental health; Internal medicine; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008034805,0.00010486,0.000373187,0.0001475904,0.001611461,0.00005395801,0.000429293,0.00005944882,0.000762649],"category_scores_gemma":[0.001318201,0.00007415676,0.00009893873,0.001118709,0.0007662494,0.0001680961,0.0002134418,0.0002788323,0.000001731858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809578,"about_ca_system_score_gemma":0.0001178911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006485487,"about_ca_topic_score_gemma":0.01098622,"domain_scores_codex":[0.9963185,0.001328706,0.0003215876,0.0002544343,0.001320213,0.0004565423],"domain_scores_gemma":[0.997874,0.00130211,0.0002550125,0.000208204,0.0002231702,0.0001375625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002691319,0.00003416806,0.9144037,0.0000106123,0.000556387,9.178026e-7,0.06706151,0.000006096668,0.00007718129,0.001011445,0.0004844769,0.01632664],"study_design_scores_gemma":[0.0003840042,0.0003887691,0.7758148,0.00002980646,0.0006228252,8.804683e-8,0.1991866,0.0001713819,0.00009232022,0.002498021,0.02067702,0.000134276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935193,0.0006739782,0.00003886025,0.002937876,0.0001302985,0.0003144635,0.0001622345,0.00002292141,0.002200051],"genre_scores_gemma":[0.9915181,0.000415382,0.000007511971,0.00006884156,0.0002450669,0.00006103874,0.00007101826,0.000007146232,0.007605874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1385888,"threshold_uncertainty_score":0.9996883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04778264806134037,"score_gpt":0.4027797626244489,"score_spread":0.3549971145631086,"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."}}