{"id":"W6920509656","doi":"10.6068/dp14ba9029bca66","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 activity status, compliance with regular and total payments, arrears status and assignment status at March 31 | Variable: Total active cases, Arrears owing at beginning of March of the fiscal year, Non compliance with payment in March of the fiscal year, Total number of cases, Non-assigned payment, Total payment due | 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; Payment; Official statistics; Economic Justice; Law enforcement; Population; Socioeconomic status; 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":[0.002447173,0.00262487,0.003226691,0.00861958,0.003525628,0.004427318,0.006309149,0.001457595,0.08608027],"category_scores_gemma":[0.01937044,0.002437226,0.002444816,0.0389807,0.0006346357,0.002545166,0.002483752,0.003672205,0.0400198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05996257,"about_ca_system_score_gemma":0.1460462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956939,"about_ca_topic_score_gemma":0.9939694,"domain_scores_codex":[0.9952756,0.0003245524,0.0006149338,0.0005696892,0.002109776,0.001105381],"domain_scores_gemma":[0.9568381,0.001310267,0.001525891,0.001045099,0.03690902,0.00237169],"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":[0.00003620581,0.00001273143,0.002195097,0.0003075137,0.00002969847,0.000007402692,0.00003240308,0.0001005638,0.00000864034,0.0003078151,0.9952607,0.001701367],"study_design_scores_gemma":[0.0004156866,0.00003914987,0.08645463,0.001892791,0.0001633451,0.00005220747,0.001240591,0.0008544369,0.0002766581,0.000858297,0.9075974,0.0001547901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009666466,0.00004953669,0.00002399338,0.000130361,0.0000322793,0.00002760924,0.9987954,0.00005419062,0.0007898321],"genre_scores_gemma":[0.001336626,0.000340557,0.0003903636,0.0002140658,0.00002610579,0.0002250745,0.9930559,0.0001003245,0.00431096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08608027,"threshold_uncertainty_score":0.4350609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684267995075823,"score_gpt":0.2579561580750611,"score_spread":0.2311134781243029,"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."}}