{"id":"W4395004597","doi":"10.23977/trance.2024.060307","title":"Empirical Research on Juvenile Crime Prevention","year":2024,"lang":"en","type":"article","venue":"Transactions on Comparative Education","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Social Innovation","funders":"","keywords":"Juvenile; Criminology; Crime prevention; Juvenile delinquency; Business; Psychology; Biology; Ecology","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":[0.004315024,0.0003482215,0.0004188707,0.00501133,0.00212191,0.001568134,0.001132456,0.0004259059,0.008221536],"category_scores_gemma":[0.0321652,0.0002727516,0.0002818693,0.00539159,0.002783686,0.001372635,0.001273888,0.0009876131,0.0003178956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002597588,"about_ca_system_score_gemma":0.005457522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04880503,"about_ca_topic_score_gemma":0.05652922,"domain_scores_codex":[0.9970319,0.001274473,0.000260496,0.0002973767,0.000802121,0.0003334812],"domain_scores_gemma":[0.9395646,0.03567215,0.01314606,0.001995491,0.007671186,0.001950523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007894838,0.0006754027,0.7960175,0.002149477,0.0002389429,0.0006873377,0.01398492,0.0008979894,0.0002350041,0.03164155,0.004791289,0.1486016],"study_design_scores_gemma":[0.00002557625,0.0001604337,0.9353175,0.002375402,0.000130815,0.0003310042,0.02755389,0.001120806,0.0004648769,0.003070248,0.02942071,0.00002887244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8859827,0.01646778,0.002833242,0.006865657,0.0002066949,0.0001754737,0.0008783163,0.00004546221,0.08654465],"genre_scores_gemma":[0.9853114,0.01092619,0.001041215,0.0004317109,0.0001049486,0.00006476796,0.0003076184,0.0000126654,0.001799447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04880503,"threshold_uncertainty_score":0.0970419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4935086893088562,"score_gpt":0.6166262543026816,"score_spread":0.1231175649938254,"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."}}