{"id":"W6957705029","doi":"10.6068/dp14ba8ca529646","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 age of payor, arrears status and amount of regular payment due in March | Variable: Total cases, by age of payor, Greater than $600 to $1000, Total arrears status at end of fiscal year | 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":[0.002434197,0.002637649,0.003070933,0.009563915,0.003595304,0.004936336,0.005856212,0.001583924,0.09076728],"category_scores_gemma":[0.02226147,0.002181642,0.002291243,0.03996782,0.0006729163,0.002646222,0.002588916,0.003300455,0.04699322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06240923,"about_ca_system_score_gemma":0.1572978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956858,"about_ca_topic_score_gemma":0.9944795,"domain_scores_codex":[0.9953045,0.0003217935,0.0005914905,0.0005888707,0.002135742,0.001057733],"domain_scores_gemma":[0.9547955,0.001509614,0.001504925,0.001153188,0.03866017,0.002376624],"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":[0.00002648222,0.000008194855,0.001263344,0.0002472128,0.00002213474,0.000005816577,0.00002220898,0.00008849852,0.000007272837,0.0002680428,0.9965438,0.001497074],"study_design_scores_gemma":[0.0003048814,0.00002408003,0.04758233,0.00147859,0.0001225521,0.00003980111,0.0007567218,0.0006985283,0.0002173004,0.0007982509,0.9478516,0.0001253293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000671442,0.00005105115,0.00002150456,0.000137196,0.00003021048,0.00002103347,0.9988452,0.00006002219,0.0007665264],"genre_scores_gemma":[0.0009860708,0.0003149016,0.0003807901,0.0002081174,0.00002428381,0.000172876,0.9937855,0.0001085848,0.004018899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09076728,"threshold_uncertainty_score":0.4528127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354419318751765,"score_gpt":0.2452397734066904,"score_spread":0.2216955802191727,"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."}}