{"id":"W6920500420","doi":"10.6068/dp14ba8f63af635","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 for the entire fiscal year, by activity status, type of beneficiary, change in arrears, length of enrolment | Variable: Total active cases, No arrears at beginning of year and change in arrears unknown, Enrolled for more than 5 to 10 years, Unknown beneficiary | 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":"Arrears; Economic statistics; Law enforcement; Enforcement; Economic Justice; Payment; Beneficiary; Alimony; Descriptive 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":[0.002427565,0.002471218,0.002975686,0.009136362,0.003344932,0.004783816,0.005525656,0.001507962,0.08216397],"category_scores_gemma":[0.0211635,0.002018499,0.002204565,0.03876436,0.0006259108,0.002437863,0.002487527,0.00325159,0.04025434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06032986,"about_ca_system_score_gemma":0.1492185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958105,"about_ca_topic_score_gemma":0.9947026,"domain_scores_codex":[0.9954377,0.0003150493,0.000555578,0.0005640736,0.002055303,0.001072319],"domain_scores_gemma":[0.9594597,0.00142676,0.001430925,0.00106371,0.03439416,0.002224729],"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":[0.00002727042,0.000008548867,0.001493751,0.0002562043,0.00002381258,0.000006865049,0.0000274498,0.0001012369,0.000007601794,0.0003373693,0.9960847,0.001625247],"study_design_scores_gemma":[0.0002548409,0.00002256581,0.05010729,0.001432389,0.0001155035,0.00003989144,0.0008446749,0.0007101737,0.0002080165,0.0008019546,0.9453437,0.0001190434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007826013,0.00005787972,0.00002396538,0.0001460022,0.00003093664,0.00002016085,0.9987607,0.00005513786,0.0008269252],"genre_scores_gemma":[0.001206358,0.0003627304,0.0004078341,0.0002105291,0.00002494909,0.0001664599,0.9929892,0.000103439,0.004528539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08216397,"threshold_uncertainty_score":0.4377258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0500258586564662,"score_gpt":0.285917049915602,"score_spread":0.2358911912591358,"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."}}