{"id":"W6920444862","doi":"10.6068/dp14ba8f6b47887","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 $400 to $600 due to beneficiary in March of the fiscal year, Agreements registered under provincial statute, Unknown 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; Economic statistics; 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":[0.002346219,0.00256992,0.003021057,0.009661006,0.003620633,0.004958637,0.005596375,0.001530822,0.08746213],"category_scores_gemma":[0.02154917,0.002118791,0.002194718,0.04095692,0.0006684784,0.002563047,0.002554778,0.003248417,0.04500823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06281359,"about_ca_system_score_gemma":0.1569809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956998,"about_ca_topic_score_gemma":0.9945915,"domain_scores_codex":[0.9953153,0.0003043887,0.0005736406,0.0005883769,0.002164954,0.001053313],"domain_scores_gemma":[0.9557408,0.001496421,0.001481022,0.001096696,0.03784636,0.002338683],"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":[0.00002709637,0.000008539042,0.001403986,0.0002606773,0.00002259377,0.000006349285,0.0000245506,0.00009298104,0.000007858646,0.0002961443,0.9962824,0.00156682],"study_design_scores_gemma":[0.0002764428,0.00002288108,0.04970784,0.00142566,0.0001147078,0.00003799771,0.0007845246,0.0006643465,0.0002179015,0.0007551088,0.9458727,0.0001199721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007116805,0.00005045579,0.00002094505,0.0001314096,0.00002849284,0.00001984697,0.99882,0.00005437288,0.0008032083],"genre_scores_gemma":[0.001043213,0.0003162711,0.0003741137,0.0001954521,0.00002272561,0.0001638783,0.9935876,0.00009955317,0.004197164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08746213,"threshold_uncertainty_score":0.4557467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04018398263757499,"score_gpt":0.2704617742557063,"score_spread":0.2302777916181313,"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."}}