{"id":"W6976440311","doi":"10.6068/dp14ba9025eda39","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | 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, Non-interjurisdictional support order, Total number of cases, Never in full compliance with payment, in partial compliance at least once in the fiscal year, Unknown beneficiary | Units: #, 2006-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-025.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Law enforcement; Official statistics; Economic statistics; Economic Justice; Population; Descriptive statistics; Socioeconomic status; Beneficiary","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":[0.002221018,0.002573681,0.003181969,0.008819958,0.003317633,0.004399518,0.006089257,0.001475675,0.08190971],"category_scores_gemma":[0.01842507,0.002306618,0.002467788,0.03879163,0.000614631,0.002471501,0.002390425,0.003433309,0.03830705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05688906,"about_ca_system_score_gemma":0.1331513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953586,"about_ca_topic_score_gemma":0.9937485,"domain_scores_codex":[0.9956062,0.0002802565,0.0005746686,0.0005536588,0.001951429,0.001033751],"domain_scores_gemma":[0.9606993,0.001225931,0.001491293,0.0009314488,0.03349686,0.002155187],"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":[0.00003488922,0.0000119787,0.002300054,0.0003111766,0.00003016684,0.000007668706,0.00003092243,0.0001067632,0.00000840237,0.0003054083,0.9952655,0.001587069],"study_design_scores_gemma":[0.0004154616,0.00003677298,0.08616669,0.001859643,0.0001628765,0.00005493635,0.001140175,0.0008731334,0.0002831002,0.000767789,0.9080914,0.0001478643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009595223,0.00004715703,0.00001993948,0.0001198987,0.0000289423,0.0000225657,0.9988899,0.00004795285,0.0007277643],"genre_scores_gemma":[0.001260294,0.0003163629,0.0003205166,0.0001911681,0.0000248884,0.0001881699,0.9935529,0.00008701598,0.004058582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08190971,"threshold_uncertainty_score":0.4127609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04363237911686148,"score_gpt":0.2837026764801275,"score_spread":0.240070297363266,"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."}}