{"id":"W2904935470","doi":"10.1111/lcrp.12144","title":"Linking serial sexual offences: Moving towards an ecologically valid test of the principles of crime linkage","year":2018,"lang":"en","type":"article","venue":"Legal and Criminological Psychology","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Optimal distinctiveness theory; Similarity (geometry); Jaccard index; Sample (material); Psychology; Consistency (knowledge bases); Linkage (software); Crime scene; Series (stratigraphy); Set (abstract data type); Test (biology); Social psychology; Computer science; Criminology; Cognitive psychology; Artificial intelligence; Pattern recognition (psychology)","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":[0.05803069,0.0006957325,0.0008220518,0.004510456,0.001764256,0.003373068,0.001629753,0.001405967,0.001808234],"category_scores_gemma":[0.1753765,0.0004598005,0.001391367,0.003245254,0.004956005,0.005490909,0.00502477,0.001732643,0.0003948271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010385,"about_ca_system_score_gemma":0.001221757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004078615,"about_ca_topic_score_gemma":0.003142585,"domain_scores_codex":[0.9543895,0.02611271,0.002915101,0.006818281,0.008691529,0.001072979],"domain_scores_gemma":[0.7960132,0.1389736,0.02804079,0.02102646,0.01333995,0.0026061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003314212,0.0003004333,0.9718627,0.0001244573,0.000594144,0.00007494188,0.002098917,0.001785091,0.0008485232,0.001926029,0.0003004089,0.01975286],"study_design_scores_gemma":[0.00003224997,0.00154235,0.966892,0.00006723209,0.00008372765,0.000239199,0.002164452,0.02191686,0.001010889,0.0047534,0.001247208,0.00005036474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963718,0.0001327186,0.02801095,0.0002833262,0.00004647976,0.0005503804,0.0003583991,0.0001018,0.006797957],"genre_scores_gemma":[0.9916712,0.00001909432,0.007648817,0.00006280463,0.00001785191,0.0001851666,0.0002549331,0.00001370479,0.000126502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05803069,"threshold_uncertainty_score":0.3068992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2092943006467566,"score_gpt":0.421284721465815,"score_spread":0.2119904208190584,"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."}}