{"id":"W6901689220","doi":"10.6068/dp14ba893bc4d68","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), enrolled cases by age of payor, arrears status and amount of regular payment due in March | Variable: 15 to 24 years old, Greater than $0 to $100, Unknown arrears status, end of fiscal year | 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":"Arrears; Census; Economic Justice; Official statistics; Payment; Population; Law enforcement; Economic statistics; Enforcement","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":[0.002705349,0.002688776,0.00318492,0.009009353,0.003600288,0.004752702,0.006090244,0.001537419,0.09023407],"category_scores_gemma":[0.02159004,0.002336891,0.002537663,0.04071233,0.0006834036,0.002620244,0.002460147,0.003347877,0.04426099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06591075,"about_ca_system_score_gemma":0.1702715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961202,"about_ca_topic_score_gemma":0.9947224,"domain_scores_codex":[0.9949005,0.0003534589,0.0006393807,0.0006028793,0.00234908,0.001154691],"domain_scores_gemma":[0.9553655,0.001427309,0.001444353,0.001159342,0.03819862,0.002404878],"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":[0.00003125956,0.000008824121,0.001427797,0.0002662468,0.00002563452,0.000005886805,0.0000252352,0.00009408465,0.000008283204,0.0003086162,0.9962249,0.001573289],"study_design_scores_gemma":[0.0003174391,0.00002620758,0.0495505,0.001521743,0.0001324072,0.00004031438,0.0008165854,0.0006642095,0.0002402595,0.0007630466,0.9457962,0.0001310322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006911261,0.00005043716,0.00002451558,0.0001467484,0.00003360522,0.00002517978,0.9987112,0.00006258852,0.0008766119],"genre_scores_gemma":[0.001139262,0.0003665722,0.0004878283,0.0002392568,0.00002689412,0.0002146606,0.9927192,0.0001288883,0.004677559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09023407,"threshold_uncertainty_score":0.4782182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410634411493258,"score_gpt":0.246038429335945,"score_spread":0.2219320852210124,"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."}}