{"id":"W3155930012","doi":"10.1002/bsl.2513","title":"Making sense of senseless murders: The who, what, when, and where?","year":2021,"lang":"en","type":"article","venue":"Behavioral Sciences & the Law","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Mounted Police; Simon Fraser University","funders":"","keywords":"Homicide; Criminology; Poison control; Commission; Human factors and ergonomics; Phenomenon; Empirical research; Suicide prevention; Injury prevention; Offender profiling; Occupational safety and health; Psychology; Sample (material); Process (computing); Computer security; Computer science; Medicine; Medical emergency; Political science; Law; Data mining; Mathematics","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":[0.001105962,0.00008091153,0.0001193669,0.00001920194,0.001460667,0.0006859349,0.000319277,0.0000418627,0.0007672975],"category_scores_gemma":[0.00001718634,0.00004726964,0.00009934737,0.0003228617,0.002329617,0.0005025751,0.0001505623,0.0001069325,0.000007005999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001884414,"about_ca_system_score_gemma":0.00007476291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01328481,"about_ca_topic_score_gemma":0.07475568,"domain_scores_codex":[0.9985743,0.0003251985,0.0001862952,0.0002174529,0.0004222858,0.0002744698],"domain_scores_gemma":[0.9994313,0.0001049007,0.00009909488,0.0002097025,0.0001112959,0.00004377296],"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":[0.00001260109,0.0003877804,0.02507057,0.00003575206,0.00003025062,0.00005633939,0.1379762,0.0000171456,0.003561775,0.7567486,0.006993735,0.06910935],"study_design_scores_gemma":[0.0004206716,0.0002536054,0.01343097,0.0008638201,0.0002469311,0.00007744855,0.5629039,0.0001852242,0.003462032,0.02216229,0.3954331,0.0005599984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613312,0.001777629,0.00004495355,0.02307565,0.0004441484,0.0001614967,0.000008029258,0.00002173671,0.01313519],"genre_scores_gemma":[0.9979294,0.0003118077,0.0001204006,0.0004374995,0.00008509344,0.000006108407,4.803863e-7,0.000004193029,0.001104996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7345862,"threshold_uncertainty_score":0.9998393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2036414774832289,"score_gpt":0.4448993018854404,"score_spread":0.2412578244022115,"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."}}