{"id":"W6920395280","doi":"10.6068/dp14ba8fb660991","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 all cases, Total arrears status at beginning of March of fiscal year, Total cases in complianceage of cases, Payment assigned to Crown, Regular 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":[0.002294095,0.002506261,0.003045911,0.009240356,0.003476321,0.004493362,0.005622142,0.001347492,0.08693151],"category_scores_gemma":[0.01807577,0.00216711,0.00227037,0.04101609,0.0006350417,0.002397328,0.00242287,0.003152071,0.04034162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0643817,"about_ca_system_score_gemma":0.1628899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996578,"about_ca_topic_score_gemma":0.9952733,"domain_scores_codex":[0.9954284,0.0002896763,0.000553871,0.0005305476,0.002103261,0.001094169],"domain_scores_gemma":[0.9619871,0.00115921,0.001271479,0.0008889118,0.03254287,0.002150485],"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":[0.00003148705,0.00001031213,0.001848968,0.0002889826,0.00002560814,0.000007124714,0.00003275875,0.00009623521,0.000008455121,0.0003424092,0.9954283,0.001879466],"study_design_scores_gemma":[0.0002799433,0.00002961708,0.06494775,0.001552972,0.0001318818,0.00004636274,0.001130262,0.000711929,0.0002365568,0.0007103932,0.9300948,0.0001274309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009982203,0.00006050979,0.00002498942,0.0001453939,0.00003310257,0.00002537426,0.9985423,0.00006106381,0.001007423],"genre_scores_gemma":[0.001496433,0.0004220288,0.0004488071,0.0002161245,0.00002611434,0.0001896588,0.9917528,0.0001157216,0.005332368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08693151,"threshold_uncertainty_score":0.4671241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457774493816983,"score_gpt":0.2621814909266081,"score_spread":0.2276037459884382,"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."}}