{"id":"W2104292577","doi":"10.1177/1079063210375975","title":"Victims’ Routine Activities and Sex Offenders’ Target Selection Scripts: A Latent Class Analysis","year":2010,"lang":"en","type":"article","venue":"Sexual Abuse","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Scripting language; Situational ethics; Psychology; Selection (genetic algorithm); Latent class model; Class (philosophy); Relevance (law); Track (disk drive); Intrusion; Social psychology; Criminology; Computer science; Developmental psychology; Political science; Artificial intelligence; Machine learning; Law","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":[0.001544808,0.000313696,0.0004723992,0.001680117,0.00100004,0.001705185,0.0004418174,0.0003056886,0.003320622],"category_scores_gemma":[0.008592778,0.0002730456,0.0006030805,0.001129183,0.0007459213,0.0009401696,0.001283823,0.0006172913,0.0002986467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006667109,"about_ca_system_score_gemma":0.0005193781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003914154,"about_ca_topic_score_gemma":0.003633016,"domain_scores_codex":[0.9980276,0.0008586718,0.0002014272,0.0001600626,0.0004399894,0.0003122489],"domain_scores_gemma":[0.995198,0.001428776,0.002100599,0.0005647144,0.000321764,0.0003861919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002831715,0.0002938591,0.9856876,0.00001841851,0.00005599185,0.00008598818,0.004673051,0.0001995154,0.000281789,0.000332067,0.0001628692,0.007925669],"study_design_scores_gemma":[0.00001532368,0.000145478,0.9862819,0.00002488601,0.00003202339,0.0002764394,0.007497875,0.004669794,0.0002413374,0.0004422651,0.0003526598,0.0000200682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991751,0.00001104684,0.000354897,0.00002031457,0.000001429518,0.00002924119,0.00007715579,0.000003641748,0.0003272222],"genre_scores_gemma":[0.9994406,0.00001711521,0.0002102564,0.000002297254,0.000001736769,0.00003671116,0.0001907257,0.000002843049,0.00009753121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003914154,"threshold_uncertainty_score":0.01110864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179861670978928,"score_gpt":0.3153115697372947,"score_spread":0.2835129530275054,"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."}}