{"id":"W6976445886","doi":"10.6068/dp14ba9029b0065","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, Unknown arrears owing at beginning of March of the fiscal year, Non compliance with payment in March of the fiscal yearage of cases, Total assignment status, 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; Economic Justice; Law enforcement; Official statistics; Population; Enforcement; Socioeconomic status","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":[0.002447024,0.002609275,0.003175831,0.00839058,0.003353026,0.004426873,0.006116227,0.001499177,0.08456782],"category_scores_gemma":[0.01936579,0.002361337,0.002443095,0.038402,0.0006201119,0.002482791,0.002465925,0.0036084,0.04048567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05786769,"about_ca_system_score_gemma":0.1408021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955083,"about_ca_topic_score_gemma":0.9939607,"domain_scores_codex":[0.9953908,0.0003201699,0.0005881338,0.000562972,0.002045419,0.001092555],"domain_scores_gemma":[0.9605132,0.001256723,0.001455394,0.001008096,0.03350474,0.002261875],"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":[0.00003416589,0.00001180012,0.002048483,0.0002919282,0.0000287878,0.000006912572,0.00002975422,0.0001008246,0.000008092211,0.0002897528,0.9955478,0.001601578],"study_design_scores_gemma":[0.0003989457,0.00003670985,0.07939636,0.001804622,0.0001591977,0.00004944587,0.001153315,0.0008517394,0.0002583946,0.0008505552,0.914892,0.0001486453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009001639,0.00004818796,0.00002288453,0.000124108,0.00003042395,0.00002375497,0.9988903,0.00005224581,0.0007181129],"genre_scores_gemma":[0.00127543,0.0003192284,0.000374018,0.0002011155,0.00002512325,0.0002048589,0.9934468,0.00009842125,0.004055034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08456782,"threshold_uncertainty_score":0.4198614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02848905098140347,"score_gpt":0.2510343223400009,"score_spread":0.2225452713585975,"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."}}