{"id":"W6957889035","doi":"10.6068/dp14ba8001aed63","title":"Trend 1998 - 2011. Statistics Canada. CANSIM: Crime and Justice - Correctional Services | Country: Canada | Table: Youth custody and community services (YCCS), admissions and releases to correctional services | Variable: Youth releases, Pre-trial detention | Units: #, 1998-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-039.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law enforcement; Census; Official statistics; Economic Justice; Criminal justice; Publication; Crime statistics; Socioeconomic status","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":[0.002272895,0.00255927,0.002774722,0.009997205,0.004002435,0.005744291,0.005500649,0.001621409,0.1023316],"category_scores_gemma":[0.01914662,0.002297112,0.0022877,0.04079038,0.0006714435,0.00299093,0.002791777,0.003419885,0.05406779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06846707,"about_ca_system_score_gemma":0.1661459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960461,"about_ca_topic_score_gemma":0.9942796,"domain_scores_codex":[0.9949727,0.0003037945,0.0005167275,0.0005743319,0.002371167,0.001261188],"domain_scores_gemma":[0.9591354,0.001270178,0.001255253,0.00109438,0.03510869,0.002136138],"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":[0.00002540152,0.000007945603,0.001229314,0.0002212561,0.00002177395,0.000006985792,0.0000250028,0.0001135919,0.000008004753,0.000393167,0.9961447,0.001802786],"study_design_scores_gemma":[0.0001856221,0.00001705833,0.0322631,0.001065894,0.00008485636,0.00003422163,0.0007321968,0.0006603835,0.0002261796,0.0007045317,0.9639139,0.0001120291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007245226,0.00005458146,0.00002735211,0.0001561093,0.0000356277,0.00002040776,0.9983351,0.00007486915,0.001223495],"genre_scores_gemma":[0.001269532,0.0003860141,0.0004809162,0.0002047961,0.00002495781,0.0001722787,0.9909018,0.0001714464,0.006388389],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1023316,"threshold_uncertainty_score":0.4967657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946382493147878,"score_gpt":0.257775699354068,"score_spread":0.2283118744225892,"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."}}