{"id":"W6939054575","doi":"10.6068/dp14ba8ffabaf52","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | 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, Total regularity of compliance of cases, Spouse and children as beneficiaries | 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":"Law enforcement; Enforcement; Economic Justice; Economic statistics; Census; Spouse; Alimony; Child support; Official statistics","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":[0.00216284,0.002429208,0.002853598,0.009877686,0.003472586,0.004883134,0.005507127,0.001459239,0.08140422],"category_scores_gemma":[0.01947556,0.001975016,0.002124439,0.04018382,0.0006244274,0.002413516,0.002434942,0.003125667,0.03876675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06082336,"about_ca_system_score_gemma":0.1436899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958445,"about_ca_topic_score_gemma":0.9949169,"domain_scores_codex":[0.9956651,0.0002707559,0.0005370894,0.0005398256,0.001983234,0.001003935],"domain_scores_gemma":[0.9604626,0.001355303,0.001416597,0.0009737624,0.03372015,0.002071658],"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":[0.00002474408,0.000008577626,0.001646165,0.0002682538,0.00002342483,0.000007005736,0.00002941082,0.00009832557,0.000007515313,0.0003415213,0.9958553,0.001689687],"study_design_scores_gemma":[0.0002381831,0.00002190803,0.05621903,0.001486623,0.000117202,0.00004291912,0.0009342925,0.0007145803,0.0002177606,0.0007575708,0.939133,0.0001168548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008419188,0.00005819528,0.00002075909,0.0001364773,0.00002795757,0.00001889393,0.9987504,0.0000524128,0.0008507041],"genre_scores_gemma":[0.00115759,0.000353734,0.0003378006,0.0001838739,0.00002177357,0.0001463336,0.9933295,0.00008958472,0.004379869],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08140422,"threshold_uncertainty_score":0.4413064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03564610782103424,"score_gpt":0.28348912770573,"score_spread":0.2478430198846957,"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."}}