{"id":"W6920461871","doi":"10.6068/dp14ba901027594","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | 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, Total interjurisdictional support order cases, Total number of cases, Unknown regularity of compliance in the fiscal year, Children as the only 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law enforcement; Enforcement; Economic statistics; Economic Justice; Census; Socioeconomic status; Order (exchange); 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":[0.002251308,0.002450241,0.002935218,0.009993802,0.003458647,0.004647622,0.005746532,0.001502156,0.08585516],"category_scores_gemma":[0.02010348,0.002082336,0.002162471,0.03982061,0.0006274816,0.00242755,0.002439458,0.003199311,0.03750853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06552771,"about_ca_system_score_gemma":0.1511951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959747,"about_ca_topic_score_gemma":0.9949992,"domain_scores_codex":[0.995443,0.0002789851,0.0005827816,0.0005556422,0.002095883,0.00104374],"domain_scores_gemma":[0.9588808,0.00142303,0.001509459,0.0009739381,0.03501596,0.002196798],"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":[0.00002805304,0.000009406372,0.001693092,0.0002987457,0.00002486094,0.00000743469,0.00002990825,0.0001026862,0.000007987516,0.0003634012,0.9956914,0.001743048],"study_design_scores_gemma":[0.0002744131,0.00002531951,0.061883,0.001658222,0.0001328258,0.00004811324,0.0009758726,0.0007668427,0.000237046,0.0008136752,0.9330564,0.0001282791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008745928,0.00006039824,0.00002132614,0.0001385113,0.0000293064,0.0000211873,0.9986994,0.00005038421,0.0008920375],"genre_scores_gemma":[0.001303738,0.0003911889,0.0003805872,0.0002063008,0.00002342777,0.0001690086,0.9926972,0.00009429559,0.004734244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08585516,"threshold_uncertainty_score":0.475439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03859273464572138,"score_gpt":0.2867847517385224,"score_spread":0.248192017092801,"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."}}