{"id":"W4404725354","doi":"10.1177/14613557241298827","title":"A diverting quarter century? Evidence-based police-led diversion 25 years on","year":2024,"lang":"en","type":"article","venue":"International Journal of Police Science & Management","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Forensic engineering; Political science; Criminology; History; Engineering; Psychology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02681453,0.001014409,0.001587236,0.004842651,0.003471735,0.0133243,0.002731658,0.009049489,0.01979632],"category_scores_gemma":[0.07835186,0.0008013956,0.0009838027,0.003297246,0.00748944,0.01481937,0.01434438,0.01717912,0.00589175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009009046,"about_ca_system_score_gemma":0.01535915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007942978,"about_ca_topic_score_gemma":0.01142377,"domain_scores_codex":[0.9839866,0.006620625,0.001555346,0.001717415,0.004905912,0.001213916],"domain_scores_gemma":[0.9545817,0.0222765,0.002282684,0.004463209,0.009665926,0.006729903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001053202,0.0001062424,0.0004464023,0.001491048,0.00004945114,0.0001637724,0.001381759,0.0001493003,0.00009157008,0.07308071,0.7074545,0.21548],"study_design_scores_gemma":[0.000008729097,0.00003660669,0.0003446364,0.003849461,0.00001042284,0.00006146284,0.000289255,0.00002410579,0.00005092738,0.007978423,0.9873295,0.00001650901],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0009393808,0.3364875,0.001205327,0.5345792,0.09911358,0.0000797371,0.0003075535,0.0001327536,0.02715498],"genre_scores_gemma":[0.02252837,0.5100929,0.0026461,0.2989239,0.1193925,0.0003977086,0.0005483466,0.0003260939,0.04514405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02681453,"threshold_uncertainty_score":0.1418105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04832214875023345,"score_gpt":0.3992929310162822,"score_spread":0.3509707822660488,"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."}}