{"id":"W2157926639","doi":"10.1177/0093854811435210","title":"Computerized Crime Linkage Systems","year":2012,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Carleton University","funders":"","keywords":"Linkage (software); Computer security; Computer science; Data science; Value (mathematics); Value systems; Psychology; Criminology; Sociology; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01183777,0.0009053581,0.001048529,0.008982262,0.00272008,0.005987037,0.003234393,0.001471545,0.0357812],"category_scores_gemma":[0.04496473,0.0007791704,0.0007251004,0.01237433,0.001225389,0.006880202,0.00562038,0.001425482,0.01027481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003498995,"about_ca_system_score_gemma":0.009092643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01391157,"about_ca_topic_score_gemma":0.008104448,"domain_scores_codex":[0.9886004,0.003416804,0.001414677,0.002465267,0.003513354,0.0005894898],"domain_scores_gemma":[0.9588969,0.01561495,0.004675313,0.009179416,0.0104877,0.001145779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007393527,0.0008932682,0.04407643,0.0009123807,0.0003748008,0.000332063,0.002137749,0.01938062,0.00146195,0.08323941,0.1614696,0.6849824],"study_design_scores_gemma":[0.0006141979,0.001021912,0.03978991,0.0008182465,0.0005093351,0.001329062,0.002863375,0.1164079,0.01294318,0.1180156,0.7051629,0.0005242987],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1256793,0.001870001,0.5316589,0.009400922,0.001635424,0.01016059,0.05260375,0.06643968,0.2005515],"genre_scores_gemma":[0.5766686,0.002105078,0.3162732,0.001919757,0.0007290868,0.00520026,0.04736338,0.001379657,0.04836097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0357812,"threshold_uncertainty_score":0.1197001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1168077862382628,"score_gpt":0.3986902001105685,"score_spread":0.2818824138723057,"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."}}