{"id":"W6939196326","doi":"10.6068/dp14ba902045c1","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), cases enrolled, by activity status, type of beneficiary, interjurisdictional support order status and regularity of compliance | Variable: Total all cases, Total interjurisdictional support order cases, Total number of cases, Never in full compliance, no money received in the fiscal year, Spouse as the only 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":"Law enforcement; Enforcement; Alimony; Economic statistics; Economic Justice; Beneficiary; Social statistics; Child support; Descriptive statistics; Official statistics","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":[0.002003338,0.002298934,0.002830937,0.009567977,0.003112065,0.004534549,0.005322616,0.001444978,0.08262095],"category_scores_gemma":[0.01930397,0.001923972,0.002021434,0.0391451,0.0006017499,0.002326006,0.002357512,0.003053539,0.03762685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05638117,"about_ca_system_score_gemma":0.1330831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948474,"about_ca_topic_score_gemma":0.993707,"domain_scores_codex":[0.9959312,0.0002536398,0.0005328403,0.0005272132,0.001809002,0.0009460591],"domain_scores_gemma":[0.9616427,0.001426689,0.001508641,0.000957564,0.03231981,0.002144689],"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":[0.00002646045,0.000009433125,0.001623899,0.0002669466,0.0000228871,0.000006667637,0.00002628484,0.0001000391,0.000007281628,0.0003191805,0.9961074,0.001483626],"study_design_scores_gemma":[0.0002845846,0.00002426816,0.05934972,0.001498656,0.0001244859,0.00004393751,0.0009311716,0.0007619803,0.0002304801,0.0007725656,0.9358608,0.000117279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008152015,0.00004706865,0.00001806395,0.0001131901,0.00002337265,0.00001738651,0.9989365,0.00004518474,0.000717701],"genre_scores_gemma":[0.001102531,0.000291793,0.0002848505,0.000157051,0.00001944793,0.0001385906,0.9942095,0.00007544225,0.003720884],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08262095,"threshold_uncertainty_score":0.4090759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04172923790573008,"score_gpt":0.2866962526891015,"score_spread":0.2449670147833714,"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."}}