{"id":"W3036453907","doi":"10.1007/978-3-030-41287-6_3","title":"Sex Offenders’ Forensic Awareness Strategies to Avoid Police Detection","year":2020,"lang":"en","type":"book-chapter","venue":"Advanced sciences and technologies for security applications","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Criminology; Forensic science; Psychology; Computer security; Computer science; History","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":[0.0005791031,0.0002677694,0.0001203603,0.0004910444,0.001154171,0.002001912,0.00059708,0.0004992145,0.01269618],"category_scores_gemma":[0.002001555,0.0001110347,0.000143328,0.000255819,0.0004501527,0.001190333,0.0008444585,0.001002959,0.001658158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007526076,"about_ca_system_score_gemma":0.0019846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002406453,"about_ca_topic_score_gemma":0.0101519,"domain_scores_codex":[0.999749,0.00009998794,0.000008542864,0.00002184097,0.00008086837,0.00003969345],"domain_scores_gemma":[0.9995833,0.0001476119,0.00006546036,0.00002014365,0.0001006163,0.00008297986],"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":[0.00006877269,0.0006087423,0.01229376,0.0002318875,0.00001606113,0.0005454798,0.02408202,0.0004014155,0.002153991,0.07034655,0.06700654,0.8222448],"study_design_scores_gemma":[0.00003190887,0.0003083112,0.07611039,0.001949543,0.00008697587,0.003848626,0.1261156,0.003204805,0.006871135,0.06463948,0.7167704,0.00006283652],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2062259,0.004676146,0.01452555,0.01864164,0.0008556803,0.0002643974,0.0002053368,0.0002370059,0.7543684],"genre_scores_gemma":[0.6809483,0.006211467,0.01688687,0.002127624,0.0001244038,0.0001464565,0.0002280102,0.00008836704,0.2932385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01269618,"threshold_uncertainty_score":0.04247296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05511325129412854,"score_gpt":0.3573171266694172,"score_spread":0.3022038753752887,"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."}}