{"id":"W6976531806","doi":"10.6068/dp14ba8a3933d67","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | 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: Unknown age of payor, Greater than $200 to $400, Arrears owing, end of fiscal year | Units: #, 2006-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-038.","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; Law enforcement; Enforcement; Economic statistics; Payment; Economic Justice; Census; Alimony","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":[0.002611377,0.00268204,0.003140247,0.009187432,0.003532167,0.004747833,0.005954263,0.001612921,0.09324335],"category_scores_gemma":[0.02263139,0.002194449,0.002274548,0.03920253,0.0006579257,0.002619367,0.002563107,0.0034349,0.04761966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06152875,"about_ca_system_score_gemma":0.1547047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995465,"about_ca_topic_score_gemma":0.9941335,"domain_scores_codex":[0.9951406,0.0003435242,0.0006164003,0.0006013215,0.002213512,0.001084724],"domain_scores_gemma":[0.9545552,0.001558344,0.001553809,0.001177824,0.03869665,0.002458247],"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":[0.00002721883,0.000008077347,0.001237088,0.0002547195,0.00002135204,0.000005774491,0.00002241015,0.00008682633,0.00000760705,0.0002652379,0.9965376,0.001526006],"study_design_scores_gemma":[0.0003143375,0.00002450993,0.04820136,0.00155431,0.000118317,0.00003848466,0.0007758225,0.0006834672,0.0002161246,0.0007998534,0.9471477,0.0001257871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006598409,0.00005073259,0.00002268692,0.0001424493,0.00003171575,0.00002251866,0.9988123,0.00005641055,0.0007951405],"genre_scores_gemma":[0.001015167,0.0003354086,0.0004104919,0.0002243687,0.00002572397,0.0001920349,0.9931544,0.0001134616,0.004529036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09324335,"threshold_uncertainty_score":0.4464245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02710811985555299,"score_gpt":0.2509684438503316,"score_spread":0.2238603239947786,"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."}}