{"id":"W6939215702","doi":"10.6068/dp14ba8e698c025","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 $1000 due to beneficiary in March of the fiscal year, Divorce Act orders, 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; Beneficiary; Enforcement; Economic statistics; Economic Justice; Order (exchange); Census; Payment; Arrears","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":[0.002400452,0.002657536,0.003075778,0.009738399,0.003580013,0.004864397,0.005704225,0.001559649,0.08762487],"category_scores_gemma":[0.02142022,0.002172033,0.002254917,0.04169383,0.000655962,0.002616416,0.002557345,0.003287889,0.04472194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06444522,"about_ca_system_score_gemma":0.1551114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959099,"about_ca_topic_score_gemma":0.9946669,"domain_scores_codex":[0.9951917,0.0003122817,0.0006036717,0.0005776774,0.002221394,0.001093356],"domain_scores_gemma":[0.9551603,0.001496607,0.001550768,0.001066842,0.0383461,0.002379455],"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":[0.00002684909,0.000008555957,0.001422427,0.000271513,0.00002249148,0.000006140343,0.00002413393,0.0000923727,0.000007511277,0.0002874076,0.9962948,0.001535724],"study_design_scores_gemma":[0.0002856442,0.00002498282,0.05544873,0.001493398,0.0001204558,0.00003969994,0.0008500948,0.0007012985,0.0002273945,0.000737063,0.9399456,0.0001255969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007190439,0.00005025757,0.00001969831,0.0001338619,0.00002809082,0.00002034033,0.9988176,0.00005272989,0.000805568],"genre_scores_gemma":[0.001058206,0.000335416,0.0003639667,0.0001982694,0.00002274971,0.0001647932,0.9934148,0.00009803288,0.004343797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08762487,"threshold_uncertainty_score":0.467585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329687376979945,"score_gpt":0.2537618538975011,"score_spread":0.2304649801277017,"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."}}