{"id":"W2081912264","doi":"10.1007/s11896-008-9027-6","title":"Body Disposal Patterns of Sexual Murderers: Implications for Offender Profiling","year":2008,"lang":"en","type":"article","venue":"Journal of Police and Criminal Psychology","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Offender profiling; Situational ethics; Psychology; Homicide; Sex offender; Profiling (computer programming); Legal psychology; Criminology; Crime scene; Logistic regression; Social psychology; Poison control; Human factors and ergonomics; Medical emergency; Engineering; Computer science; Medicine","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":[0.0004096772,0.0001936126,0.0002665015,0.001224495,0.0005367149,0.0007694363,0.0003003167,0.0004920976,0.003277875],"category_scores_gemma":[0.004223121,0.0001412815,0.0002440927,0.000795739,0.0002729914,0.0006247066,0.0005998745,0.0005135217,0.0004397155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002131136,"about_ca_system_score_gemma":0.0001499949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002053404,"about_ca_topic_score_gemma":0.002574327,"domain_scores_codex":[0.999687,0.0001240589,0.00003680782,0.00004265415,0.00004865305,0.0000608798],"domain_scores_gemma":[0.9988958,0.0002775853,0.0004822834,0.00006218244,0.000174305,0.0001078637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003609519,0.0001421469,0.9854976,0.00002867758,0.00001820131,0.0001471881,0.001034604,0.00007662766,0.001575391,0.0001027687,0.0001131196,0.01090271],"study_design_scores_gemma":[0.000001921363,0.0001349186,0.9962398,0.00001977796,0.0000110441,0.0004158644,0.002129218,0.0003601133,0.0003682787,0.0001195508,0.0001945187,0.000004976705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985371,0.00008855628,0.0001813608,0.00005881016,0.000004677574,0.00001115062,0.000102975,0.000002668462,0.001012732],"genre_scores_gemma":[0.9994162,0.00005900166,0.0001624525,0.00001256557,0.000003116681,0.000005945911,0.00005861915,0.000002774313,0.0002792385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003277875,"threshold_uncertainty_score":0.01096559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1627308191244873,"score_gpt":0.4660103898689474,"score_spread":0.3032795707444601,"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."}}