{"id":"W2033381876","doi":"10.1177/1088767900004002002","title":"Uncleared Homicides","year":2000,"lang":"en","type":"article","venue":"Homicide Studies","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Homicide; Logistic regression; Poison control; Human factors and ergonomics; Suicide prevention; Demography; Injury prevention; Occupational safety and health; Criminology; Medicine; Psychology; Geography; Medical emergency; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002476926,0.00007876465,0.0001530096,0.00003840019,0.0006055724,0.00004701512,0.000138219,0.00002965771,0.01043884],"category_scores_gemma":[0.00009041134,0.00007196202,0.0001133456,0.0001114298,0.0002989869,0.0001211495,0.000028775,0.00005950393,0.0009294124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006866943,"about_ca_system_score_gemma":0.00002039888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784582,"about_ca_topic_score_gemma":0.002292151,"domain_scores_codex":[0.9992236,0.00007888925,0.0001611708,0.0001507744,0.000141363,0.0002441926],"domain_scores_gemma":[0.9996677,0.00007249786,0.00002837882,0.0001184393,0.00006491601,0.00004805708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007846282,0.0002338841,0.1007332,0.00003726173,0.0004544235,0.00002693812,0.0936914,0.00005179622,0.0004801852,0.02870467,0.4367412,0.3387666],"study_design_scores_gemma":[0.0004255571,0.00008177989,0.0668164,0.0001115855,0.00005697456,0.000001717996,0.05030599,0.0000108279,0.0005213259,0.00752536,0.8738214,0.0003211235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8176447,0.002348016,0.000008622497,0.002495487,0.0002405912,0.0001070563,0.000006314485,0.0001090458,0.1770401],"genre_scores_gemma":[0.9638489,0.002051487,0.0001134634,0.0002978822,0.0002418625,0.00001156361,0.000001432892,0.000008276338,0.03342506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4370802,"threshold_uncertainty_score":0.9998485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1267379485095851,"score_gpt":0.4574236363695232,"score_spread":0.3306856878599381,"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."}}