{"id":"W6976394185","doi":"10.6068/dp14ba8eb3bb730","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 order authority, type of beneficiary and regular amount due in March | Variable: Greater than $100 to $200 due to beneficiary in March of the fiscal year, Divorce Act orders, Total cases, type of 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":"Beneficiary; Law enforcement; Enforcement; Economic statistics; Economic Justice; Order (exchange); Census; Arrears; Payment","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":[0.002299493,0.002607531,0.003005484,0.009879417,0.003564023,0.004856346,0.005623478,0.001500671,0.0834921],"category_scores_gemma":[0.02057701,0.002116816,0.002263543,0.04181719,0.0006602259,0.002581204,0.002514538,0.003235899,0.04272934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06357218,"about_ca_system_score_gemma":0.1559974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959871,"about_ca_topic_score_gemma":0.9949286,"domain_scores_codex":[0.9952976,0.000298933,0.0005819118,0.0005806482,0.002181083,0.00105984],"domain_scores_gemma":[0.9568664,0.001385919,0.001446537,0.001049769,0.03699923,0.002252091],"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":[0.0000279061,0.000008929742,0.001548193,0.0002708214,0.00002418649,0.000006651202,0.0000253974,0.00009733536,0.000007928957,0.0003061031,0.9960505,0.001626016],"study_design_scores_gemma":[0.0002779864,0.00002432736,0.05634836,0.001426297,0.000121846,0.00004139167,0.0008402743,0.0007009629,0.0002277474,0.0007330149,0.9391357,0.0001220186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007638556,0.00005322704,0.00002041683,0.0001323819,0.00002910022,0.00002024942,0.9987996,0.00005430689,0.0008143897],"genre_scores_gemma":[0.001071989,0.0003308921,0.0003602694,0.0001883968,0.00002291268,0.0001527313,0.9935991,0.00009437199,0.004179401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0834921,"threshold_uncertainty_score":0.4612506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03553621973097239,"score_gpt":0.2700454981858091,"score_spread":0.2345092784548367,"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."}}