{"id":"W6976912686","doi":"10.6068/dp14ba9006de434","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), cases enrolled, by activity status, type of beneficiary, interjurisdictional support order status and regularity of compliance | Variable: Total active cases, Total interjurisdictional support order cases, Total number of cases, Unknown regularity of compliance in the fiscal year, Total cases, type of beneficiary cases | 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":"Census; Descriptive statistics; Economic Justice; Economic statistics; Law enforcement; Official statistics; 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":[0.002250458,0.002609193,0.003038136,0.009317558,0.003497308,0.004484357,0.005910727,0.00140472,0.09190252],"category_scores_gemma":[0.01896069,0.002318509,0.002406501,0.04125812,0.0006229387,0.002595166,0.002444561,0.00335765,0.04189866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06245197,"about_ca_system_score_gemma":0.1480567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958006,"about_ca_topic_score_gemma":0.9943128,"domain_scores_codex":[0.99529,0.0002910398,0.0005693857,0.0005465873,0.002206099,0.00109678],"domain_scores_gemma":[0.9579473,0.001289702,0.001472469,0.0009786419,0.03606292,0.00224906],"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":[0.0000323435,0.00001123898,0.001931112,0.000276156,0.00002547051,0.000006942913,0.00003005287,0.0001011952,0.000008194688,0.0003096898,0.9956241,0.001643462],"study_design_scores_gemma":[0.0003360494,0.00003252888,0.07250195,0.001605464,0.0001386725,0.00004855112,0.001113138,0.0007950617,0.000269249,0.000730337,0.9222941,0.0001349294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009719733,0.00004834621,0.00002081031,0.0001254679,0.0000313892,0.00002319572,0.9986815,0.00005666659,0.0009154273],"genre_scores_gemma":[0.001233999,0.0003267677,0.0003418971,0.0001801276,0.00002510513,0.0001747756,0.9928145,0.0001059166,0.004796744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09190252,"threshold_uncertainty_score":0.4531229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0452391503658838,"score_gpt":0.2913080129438859,"score_spread":0.2460688625780021,"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."}}