{"id":"W6920358965","doi":"10.6068/dp14ba856593e59","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), number of enforcement actions by fiscal year quarter | Variable: Total for fiscal year, Federal license suspension, initiate | 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; Economic Justice; Census; Official statistics; Publication; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00246748,0.002573284,0.003009164,0.01051877,0.003801401,0.00533761,0.005567678,0.00155079,0.09638321],"category_scores_gemma":[0.02079032,0.002239757,0.002284869,0.04546683,0.000664206,0.002911982,0.002558951,0.003390139,0.05354249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06904486,"about_ca_system_score_gemma":0.1783006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960156,"about_ca_topic_score_gemma":0.9945012,"domain_scores_codex":[0.9948053,0.0003210229,0.0005657727,0.000579536,0.002518922,0.001209429],"domain_scores_gemma":[0.9565325,0.001301473,0.001324636,0.001048706,0.03755653,0.002236109],"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":[0.00002307027,0.000007493837,0.001119222,0.0002299437,0.00001942236,0.000005859948,0.00002238886,0.00008951145,0.000007666428,0.0003420517,0.9964569,0.001676499],"study_design_scores_gemma":[0.0002038835,0.00001870884,0.03851819,0.001196477,0.00009733804,0.00003361825,0.0007124363,0.0005799722,0.0002109916,0.0007338226,0.9575864,0.0001082439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006641953,0.00006113872,0.00002736422,0.0001577785,0.00003580541,0.00002283592,0.9984058,0.0000690428,0.001153912],"genre_scores_gemma":[0.001152658,0.0004297748,0.0005197697,0.0002232344,0.00002745355,0.00018985,0.9910288,0.0001519553,0.006276406],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9036168,"threshold_uncertainty_score":0.5009578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603715287123137,"score_gpt":0.274963946795161,"score_spread":0.2389267939239296,"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."}}