{"id":"W4408846327","doi":"10.1002/bsl.2722","title":"“Sorting Things out”: A Scoping Review of Sexual Homicide Typologies","year":2025,"lang":"en","type":"review","venue":"Behavioral Sciences & the Law","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Faculty of Arts and Sciences; Simon Fraser University","keywords":"Typology; Categorization; Poison control; Homicide; Variety (cybernetics); Offender profiling; Human factors and ergonomics; Criminology; Data science; Psychology; Computer science; Sociology; Medicine; Data mining; Artificial intelligence; Medical emergency","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003284248,0.0002542401,0.001264237,0.0001382089,0.001736863,0.0001928257,0.001527773,0.0001575531,0.0001541122],"category_scores_gemma":[0.0004227385,0.0001566555,0.0004582446,0.001696328,0.001943047,0.0003070971,0.0002963911,0.0003134575,0.00002465438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001191816,"about_ca_system_score_gemma":0.001465225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03264872,"about_ca_topic_score_gemma":0.02252258,"domain_scores_codex":[0.9969262,0.0006269056,0.0008431688,0.0004665818,0.0006816846,0.00045541],"domain_scores_gemma":[0.9979422,0.0006616589,0.0008117958,0.0003829683,0.0001423061,0.00005905777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[4.92389e-7,0.00003142476,0.000005973754,0.03431776,0.00001232443,0.000002195184,0.001937044,3.522865e-7,1.940189e-7,0.00725166,0.0001537428,0.9562868],"study_design_scores_gemma":[0.00002758531,0.0001131442,4.384456e-7,0.6366239,0.009694087,0.000005084299,0.06166704,0.000001239977,0.00000145409,0.0001814103,0.291221,0.0004635858],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003197946,0.9884112,0.00001679552,0.000451032,0.0005482592,0.0008240528,0.000007771832,0.00005975448,0.00964918],"genre_scores_gemma":[0.00006433832,0.998443,0.0001368661,0.0003859378,0.0001251697,0.00008748071,0.000005275729,0.000007244711,0.0007446524],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9558232,"threshold_uncertainty_score":0.9995627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2206339211553279,"score_gpt":0.5081850246431124,"score_spread":0.2875511034877846,"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."}}