{"id":"W2048058938","doi":"10.1002/jip.117","title":"Target selection patterns in rape","year":2010,"lang":"en","type":"article","venue":"Journal of Investigative Psychology and Offender Profiling","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Selection (genetic algorithm); Portuguese; Sample (material); Empirical research; Psychology; Social psychology; Computer science; Artificial intelligence; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001188948,0.00007039263,0.0001478439,0.0001930168,0.0001610243,0.00002668022,0.0001482522,0.0001197362,0.0004497112],"category_scores_gemma":[0.0003740469,0.00006244278,0.00006018699,0.0001524982,0.0003409764,0.0002514432,0.00001861819,0.0006598026,0.000003112988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001450782,"about_ca_system_score_gemma":0.00007243726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009296479,"about_ca_topic_score_gemma":0.0009112139,"domain_scores_codex":[0.9990557,0.0002163545,0.0003214358,0.000118442,0.0001189331,0.00016908],"domain_scores_gemma":[0.9994051,0.00006051483,0.0002275351,0.00006148758,0.0001402293,0.0001051181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003714375,0.0001231614,0.9129475,0.00001359842,0.00003791499,0.00001184355,0.006895682,0.000003662057,0.06834432,0.007920974,0.001166007,0.002498192],"study_design_scores_gemma":[0.001317863,0.0004848885,0.8567929,0.0001351958,0.000025366,0.00009570694,0.006269793,0.00007980427,0.02321449,0.104328,0.00702569,0.0002302928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902015,0.0001163302,0.0008659835,0.004407085,0.0008921362,0.00007988026,0.000001925928,0.000006925636,0.003428187],"genre_scores_gemma":[0.9924502,0.00006415403,0.006527371,0.0005465348,0.000307583,0.000002843729,7.499989e-7,0.000005278001,0.00009531123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09640707,"threshold_uncertainty_score":0.4924022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07241696282665142,"score_gpt":0.3993934837175408,"score_spread":0.3269765208908894,"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."}}