{"id":"W6920330383","doi":"10.6068/dp14ba901a08e60","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, Interjurisdictional support order-in, Total number of cases, Full compliance with payment 1 to 2 months of the fiscal year, Children as the only 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 statistics; Census; Economic Justice; Payment; Socioeconomic status; Child support","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":[0.002046568,0.002317588,0.002878245,0.00943616,0.003140275,0.004601552,0.005367164,0.001468561,0.08232088],"category_scores_gemma":[0.01968032,0.001955165,0.00206129,0.03958996,0.0006077086,0.002315376,0.002366748,0.003112739,0.0373321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05768226,"about_ca_system_score_gemma":0.1380058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949927,"about_ca_topic_score_gemma":0.9937581,"domain_scores_codex":[0.9958315,0.0002634453,0.0005498703,0.0005371039,0.001847511,0.0009704923],"domain_scores_gemma":[0.9610734,0.001447608,0.001518808,0.0009760027,0.03279018,0.00219399],"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":[0.0000279749,0.000009637517,0.001647172,0.0002776164,0.00002417192,0.000006884392,0.00002674503,0.0001024548,0.000007498902,0.000336561,0.9960156,0.001517679],"study_design_scores_gemma":[0.0002867625,0.00002456004,0.05853599,0.001541602,0.0001258077,0.00004403983,0.0009035948,0.0007486107,0.0002278378,0.0007874641,0.9366547,0.0001190849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007999407,0.00004880868,0.00001838494,0.0001161028,0.00002417325,0.00001761112,0.9989187,0.00004494387,0.0007314495],"genre_scores_gemma":[0.001126931,0.0003091268,0.0002986184,0.0001683184,0.00002011848,0.0001425734,0.994073,0.00007775454,0.003783622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9176791,"threshold_uncertainty_score":0.418516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777677328806073,"score_gpt":0.2708227311115193,"score_spread":0.2430459578234586,"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."}}