{"id":"W6939088965","doi":"10.6068/dp14ba9038cfb68","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | 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 all cases, Unknown arrears owing at beginning of March of the fiscal year, Partial compliance with payment in March of the fiscal yearage of cases, Non-assigned payment, Total payment due | 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; Payment; Law enforcement; Enforcement; Economic statistics; Economic Justice; Census; Alimony","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":[0.002154481,0.002309965,0.002755309,0.008806221,0.003174402,0.004444591,0.005400411,0.001477776,0.08198],"category_scores_gemma":[0.02091122,0.001859581,0.0020251,0.03756191,0.0006104253,0.002247809,0.002437872,0.003175534,0.03840226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05465871,"about_ca_system_score_gemma":0.1312198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943954,"about_ca_topic_score_gemma":0.9934776,"domain_scores_codex":[0.9959341,0.0002924612,0.0005270299,0.0005379274,0.001741422,0.0009670195],"domain_scores_gemma":[0.9629227,0.001485232,0.001462321,0.001076268,0.03089436,0.002159129],"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":[0.0000262945,0.000008647156,0.001450645,0.0002503896,0.00002227928,0.000006511958,0.00002539287,0.00009589534,0.000007029391,0.0003138586,0.9963935,0.00139959],"study_design_scores_gemma":[0.0002809589,0.00002200972,0.0507541,0.001550238,0.0001178466,0.00004127759,0.000863374,0.0007064636,0.0002057241,0.0008747241,0.944468,0.0001153348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006941083,0.00004365084,0.00001916444,0.0001066936,0.00002217302,0.00001673173,0.9990655,0.00004293198,0.0006138254],"genre_scores_gemma":[0.0009763882,0.0002583605,0.0003022465,0.0001474696,0.00001820547,0.0001407686,0.9950356,0.00007138887,0.00304959],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08198,"threshold_uncertainty_score":0.3965786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0352977794840371,"score_gpt":0.2609809236685757,"score_spread":0.2256831441845386,"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."}}