{"id":"W4416827782","doi":"10.5539/res.v17n2p10","title":"Wider Computer-Test Use to Assess-Risk-Manage (ARM) Cuts U.S. Yearly 10,000-Violence-Deaths &Saves $322B-$1.2T-Violence-Cost-by Diverting High-Risk-Persons","year":2025,"lang":"","type":"article","venue":"Review of European Studies","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northwestern University; Laura and John Arnold Foundation; University of Illinois at Urbana-Champaign; Northern Illinois University; Exelon Corporation; U.S. Department of Homeland Security","keywords":"Attendance; Activity-based costing; Liability; Revenue; Personality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001694532,0.001268809,0.0006431071,0.003027867,0.0004308147,0.00127682,0.0008011017,0.0007096031,0.4650952],"category_scores_gemma":[0.006112602,0.0005060852,0.0005139141,0.001154159,0.0002535605,0.001135285,0.00145138,0.0008536893,0.2634387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005752411,"about_ca_system_score_gemma":0.0008745106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009099614,"about_ca_topic_score_gemma":0.0190664,"domain_scores_codex":[0.999109,0.0002647426,0.00008370043,0.0001620464,0.0002881406,0.00009233498],"domain_scores_gemma":[0.9955193,0.001267624,0.0003753218,0.0005387368,0.001393738,0.0009052802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002555126,0.0008200709,0.01108089,0.00007472066,0.00002090171,0.0000325494,0.00004666766,0.0001275286,0.0006436316,0.0003419477,0.6323356,0.3542199],"study_design_scores_gemma":[0.0005183189,0.0008024666,0.1606615,0.0003153963,0.00006939556,0.0003542761,0.0004004577,0.001889121,0.001554015,0.001176266,0.8321943,0.00006452875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04050021,0.001146686,0.01189919,0.007444581,0.001202717,0.003873461,0.0700165,0.03660125,0.8273154],"genre_scores_gemma":[0.08616984,0.001638568,0.02848472,0.003782733,0.0008248106,0.003276781,0.05753782,0.002522202,0.8157625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4650952,"threshold_uncertainty_score":0.7629768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155452062107416,"score_gpt":0.3970064329329258,"score_spread":0.2814612267221842,"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."}}