{"id":"W4386634301","doi":"10.3138/cjccj.2022-0044","title":"Section 19 Conferencing in the Canadian Youth Criminal Justice System","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Public relations; Criminal justice; Best practice; Leverage (statistics); Service provider; Process (computing); Economic Justice; Section (typography); Rehabilitation; Service (business); Political science; Psychology; Business; Criminology; Computer science; Law; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.004777137,0.0003101637,0.0002915918,0.001106061,0.02078796,0.003774549,0.001703785,0.0008935137,0.006595933],"category_scores_gemma":[0.0102988,0.0002748611,0.0002240918,0.00179089,0.003318759,0.00116112,0.004393231,0.001399807,0.0002743822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07235783,"about_ca_system_score_gemma":0.1814896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9621402,"about_ca_topic_score_gemma":0.9871269,"domain_scores_codex":[0.9933774,0.002991978,0.0001592498,0.0003724296,0.001097957,0.002000958],"domain_scores_gemma":[0.9918838,0.001852836,0.0004203568,0.0002127554,0.002460347,0.003169883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003908197,0.0004282939,0.06456766,0.0008136228,0.00005106385,0.003711336,0.6686112,0.002661277,0.003708828,0.03531789,0.0409529,0.1787851],"study_design_scores_gemma":[0.00003013603,0.000234794,0.08447231,0.0004966431,0.00004268289,0.0004035018,0.7043526,0.00127967,0.0008606954,0.001375399,0.2063288,0.000122744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132067,0.0009848033,0.001256484,0.005862877,0.0001624796,0.0004987919,0.0003458555,0.00006558913,0.07761638],"genre_scores_gemma":[0.9908799,0.0005044039,0.001121995,0.0004040505,0.00001373463,0.00008788609,0.0001020002,0.00001293356,0.006873213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07235783,"threshold_uncertainty_score":0.5249952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1396437595924106,"score_gpt":0.3294119043329292,"score_spread":0.1897681447405186,"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."}}