{"id":"W6920438281","doi":"10.6068/dp14ba8acfc0c25","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), enrolled cases with arrears at March 31, by type of beneficiary and amount owing for each arrears decile | Variable: Fifth decile of arrears owing, Total amount of arrears owing, Children as the only beneficiaries | Units: # $CAD, 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; Decile; Economic Justice; Census; Law enforcement; Economic statistics; Official statistics; Population; Descriptive statistics; Criminal justice","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002517011,0.002690227,0.003179992,0.008951549,0.00349858,0.004792442,0.005810889,0.001557938,0.08848429],"category_scores_gemma":[0.02041317,0.002420161,0.002519059,0.03983897,0.0006623769,0.002617099,0.002535465,0.003391488,0.04390992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06394457,"about_ca_system_score_gemma":0.1631567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962493,"about_ca_topic_score_gemma":0.9947661,"domain_scores_codex":[0.995082,0.0003303507,0.00059842,0.0005775331,0.002268615,0.001143047],"domain_scores_gemma":[0.9598339,0.001295444,0.001326002,0.001034013,0.03427553,0.002235132],"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":[0.00003150153,0.000009601855,0.001476947,0.0002678003,0.00002559718,0.000006061592,0.00002546966,0.0001016092,0.000008086035,0.0003319351,0.9960961,0.001619439],"study_design_scores_gemma":[0.000317471,0.00002811429,0.05160486,0.001452844,0.0001301874,0.00004178093,0.0008510135,0.0007273688,0.0002393811,0.0007409033,0.943737,0.0001290824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007284453,0.00005412076,0.00002390706,0.0001438024,0.0000327032,0.00002366754,0.9986863,0.00006324347,0.0008993936],"genre_scores_gemma":[0.001224072,0.0003959619,0.0004751283,0.0002325507,0.00002696278,0.0001965878,0.9923953,0.0001254947,0.004927986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9115157,"threshold_uncertainty_score":0.4639525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443224161266826,"score_gpt":0.2518893155858127,"score_spread":0.2274570739731444,"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."}}