{"id":"W6920515461","doi":"10.6068/dp14ba8ea4d6e29","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 $600 to $1000 due to beneficiary in March of the fiscal year, Divorce Act orders, 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":"Beneficiary; Law enforcement; Enforcement; Alimony; Economic Justice; Economic statistics; Order (exchange); Arrears; Spouse","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":[0.002223972,0.002637903,0.003040079,0.009824771,0.003513072,0.004849716,0.005645297,0.001550744,0.08299389],"category_scores_gemma":[0.02019052,0.002126508,0.002276434,0.04159653,0.0006558,0.002586727,0.00248836,0.003241853,0.04291897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06260152,"about_ca_system_score_gemma":0.1517347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958674,"about_ca_topic_score_gemma":0.9946957,"domain_scores_codex":[0.9954873,0.0002843201,0.0005650152,0.0005595507,0.002080122,0.001023764],"domain_scores_gemma":[0.9587064,0.001357915,0.00142443,0.0009979135,0.03538587,0.002127385],"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":[0.00002692822,0.000008790124,0.001445472,0.0002742299,0.00002399256,0.00000645971,0.00002379811,0.00009785283,0.000007660758,0.0002953685,0.9962727,0.00151683],"study_design_scores_gemma":[0.000288015,0.00002400444,0.05389985,0.001422526,0.0001264864,0.00004031244,0.0008044991,0.0007058579,0.0002313215,0.0007213891,0.9416127,0.0001231852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007011802,0.00005117079,0.00001871508,0.0001275759,0.00002740252,0.000018534,0.998899,0.00005004838,0.000737453],"genre_scores_gemma":[0.00100239,0.0003138286,0.0003260044,0.0001789745,0.00002149031,0.0001454395,0.9941608,0.00008614935,0.003764907],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08299389,"threshold_uncertainty_score":0.454208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791621176540194,"score_gpt":0.2617070640773684,"score_spread":0.2337908523119664,"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."}}