{"id":"W6958035839","doi":"10.6068/dp14ba8fccd8245","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, Total arrears status at beginning of March of fiscal year, Total cases in complianceage of cases, Non-assigned payment, Regular 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; Law enforcement; Enforcement; Economic statistics; Payment; Economic Justice; Alimony; Census","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":[0.002306212,0.002463064,0.002849362,0.009329014,0.003348943,0.004697959,0.005402235,0.001455196,0.08097778],"category_scores_gemma":[0.02039433,0.001946414,0.002094966,0.0388143,0.0006245902,0.002378999,0.002483003,0.003164468,0.04047481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05700979,"about_ca_system_score_gemma":0.1397032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955934,"about_ca_topic_score_gemma":0.9945961,"domain_scores_codex":[0.9957582,0.0002969971,0.0005190396,0.000545414,0.001874471,0.001005764],"domain_scores_gemma":[0.9621747,0.001376578,0.00137662,0.001034609,0.03195498,0.002082504],"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":[0.00002475276,0.000008015675,0.001501056,0.0002492593,0.00002293163,0.000006637122,0.00002792385,0.00009710412,0.00000725194,0.0003161052,0.9961455,0.00159355],"study_design_scores_gemma":[0.0002420516,0.00002153912,0.05142242,0.00144793,0.0001126149,0.00003941268,0.0008874853,0.0007170959,0.0002008581,0.0008102028,0.9439818,0.0001165053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000752765,0.0000527954,0.00002229585,0.0001320623,0.00002734813,0.00001822684,0.9988843,0.00005342283,0.0007343314],"genre_scores_gemma":[0.001094578,0.000317541,0.000363126,0.0001807876,0.00002163061,0.0001513155,0.9938776,0.00009331299,0.003900113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08097778,"threshold_uncertainty_score":0.4136369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561590210351444,"score_gpt":0.2642043242102945,"score_spread":0.2285884221067801,"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."}}