{"id":"W6920816668","doi":"10.6068/dp14ba8fdd9e156","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 $0 to $100 due to beneficiary in March of the fiscal year, Orders from provincial and/or territorial statutes, Spouse and children as 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":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law enforcement; Beneficiary; Enforcement; Alimony; Economic Justice; Economic statistics; Order (exchange); Arrears; 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":[0.002318971,0.002530148,0.003025468,0.009721573,0.003554659,0.004901071,0.005526004,0.001557956,0.0876421],"category_scores_gemma":[0.02123157,0.002113122,0.002206254,0.04239319,0.0006550383,0.002580309,0.002555153,0.00335273,0.04414191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06166925,"about_ca_system_score_gemma":0.1514864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958063,"about_ca_topic_score_gemma":0.9946117,"domain_scores_codex":[0.9953003,0.0003078511,0.0005940843,0.0005782722,0.002142527,0.00107698],"domain_scores_gemma":[0.9595259,0.001419043,0.001435724,0.001047738,0.03437846,0.002193134],"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":[0.00002596214,0.000008241595,0.001431466,0.0002667669,0.00002282432,0.000006490592,0.00002514025,0.00009120687,0.000007018954,0.0003039611,0.9962432,0.001567659],"study_design_scores_gemma":[0.0002618625,0.00002249301,0.05299734,0.001460837,0.0001198094,0.0000399348,0.0008171454,0.0006399676,0.0002102185,0.0007482811,0.942564,0.0001182053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007265685,0.00005764647,0.00002064336,0.0001414794,0.00003094921,0.00001947368,0.9987519,0.00005083578,0.0008544353],"genre_scores_gemma":[0.001120445,0.000363441,0.0003597077,0.000202607,0.00002449067,0.0001593025,0.993102,0.00009589236,0.004572193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0876421,"threshold_uncertainty_score":0.4474438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058150881207714,"score_gpt":0.2429259683084472,"score_spread":0.2223444594963701,"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."}}