{"id":"W6920208782","doi":"10.6068/dp14ba8e35ab587","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: Zero dollars due to beneficiary in March of the fiscal year, Unknown order authority, Total cases, type of 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; Economic statistics; Enforcement; Economic Justice; Order (exchange); Census; Arrears; Payment","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":[0.002447087,0.00264624,0.003012053,0.009567927,0.003464816,0.004778194,0.005729209,0.001546771,0.09012478],"category_scores_gemma":[0.02180256,0.002142434,0.002224785,0.0409229,0.0006466996,0.002606037,0.00250865,0.003331315,0.04603503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06187776,"about_ca_system_score_gemma":0.1510246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995517,"about_ca_topic_score_gemma":0.9941738,"domain_scores_codex":[0.9951676,0.0003158847,0.0005933316,0.0005880614,0.002259962,0.001075171],"domain_scores_gemma":[0.9549345,0.001519826,0.001553871,0.001108249,0.03852197,0.002361487],"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":[0.00002611789,0.000008050844,0.001327441,0.0002607821,0.00002122592,0.000005969634,0.00002280654,0.0000898143,0.000007692242,0.0002914005,0.9963806,0.001558086],"study_design_scores_gemma":[0.0002760329,0.00002226327,0.04882606,0.001426216,0.0001108917,0.00003590203,0.0007598359,0.000651152,0.0002188756,0.0007396276,0.946817,0.0001161881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006862467,0.00005081407,0.00002109223,0.0001376791,0.00002933984,0.00002025184,0.998789,0.0000537152,0.0008295105],"genre_scores_gemma":[0.001038299,0.0003357667,0.0003850916,0.0001998935,0.00002415179,0.0001692428,0.993037,0.0001059504,0.004704526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09012478,"threshold_uncertainty_score":0.4489567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434642494931475,"score_gpt":0.2745191607340572,"score_spread":0.2401727357847424,"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."}}