{"id":"W4383807014","doi":"10.56687/9781447367031","title":"Youth crime and youth justice","year":2004,"lang":"en","type":"book","venue":"Policy Press eBooks","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Criminology; Economic Justice; Political science; Sociology; Psychology; 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":[0.0004462801,0.0003028348,0.0003611188,0.001320812,0.00185493,0.003925468,0.0003084189,0.0008965172,0.01773468],"category_scores_gemma":[0.001562205,0.000187181,0.0002040027,0.00194657,0.001607945,0.001881985,0.002494618,0.0009478971,0.003284444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003067071,"about_ca_system_score_gemma":0.003648799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03242517,"about_ca_topic_score_gemma":0.06656753,"domain_scores_codex":[0.9993249,0.0002374801,0.00003142128,0.00005767355,0.000209984,0.0001384551],"domain_scores_gemma":[0.9996802,0.00009202355,0.00003288324,0.00003054632,0.00008607266,0.00007837828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001413075,0.00002884553,0.003851226,0.0003179774,0.000009161929,0.0001778287,0.01005546,0.0001473481,0.00006116291,0.1797158,0.5431664,0.2624546],"study_design_scores_gemma":[0.000002141384,0.00001276915,0.008076309,0.0004716779,0.000003934576,0.0001751262,0.004312424,0.00004811486,0.00005124643,0.01340612,0.9734331,0.00000702991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01517812,0.1662881,0.0005932974,0.02698058,0.004071894,0.00004887193,0.0005435111,0.0001112112,0.7861844],"genre_scores_gemma":[0.1393182,0.08706437,0.0007306827,0.005666213,0.00137212,0.0001088521,0.0006365147,0.0001097462,0.7649933],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03242517,"threshold_uncertainty_score":0.06447285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07851771071307127,"score_gpt":0.342977980527415,"score_spread":0.2644602698143437,"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."}}