{"id":"W6901551252","doi":"10.6068/dp14ba88ac0c795","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), enrolled cases by age of payor, arrears status and amount of regular payment due in March | Variable: 15 to 24 years old, Greater than $600 to $1000, No arrears owing, end of fiscal year | Units: #, 2006-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-025.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arrears; Census; Economic Justice; Official statistics; Payment; Law enforcement; Population; Economic statistics; Enforcement","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":[0.002719133,0.002695055,0.003192661,0.009009575,0.003602591,0.004775803,0.006110013,0.001553095,0.09223643],"category_scores_gemma":[0.02180637,0.002342369,0.002567045,0.04081951,0.0006875992,0.002627447,0.00246295,0.003378988,0.04510206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06563963,"about_ca_system_score_gemma":0.1705654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960872,"about_ca_topic_score_gemma":0.9946545,"domain_scores_codex":[0.9949147,0.0003553299,0.000639764,0.0006003553,0.002338129,0.001151785],"domain_scores_gemma":[0.9553187,0.001452829,0.001438836,0.001169586,0.03820726,0.002412852],"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":[0.00003128411,0.00000880201,0.001398425,0.0002693781,0.00002564345,0.000005835944,0.00002517162,0.0000932708,0.00000827348,0.0003080531,0.996245,0.001580927],"study_design_scores_gemma":[0.0003206095,0.00002621051,0.04862079,0.001531627,0.0001330856,0.00003995848,0.0008148692,0.0006620595,0.0002383738,0.0007711131,0.9467093,0.0001320183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006726765,0.0000500413,0.00002457454,0.0001466218,0.00003350413,0.00002513774,0.9987197,0.00006308295,0.0008700816],"genre_scores_gemma":[0.001128145,0.0003667432,0.0004944726,0.0002400891,0.00002688464,0.0002153699,0.9927773,0.0001313698,0.004619609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09223643,"threshold_uncertainty_score":0.4762511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217112188376362,"score_gpt":0.2424182290041167,"score_spread":0.2202471071203531,"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."}}