{"id":"W6938995701","doi":"10.6068/dp14ba8fd9dcb33","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 activity status, compliance with regular and total payments, arrears status and assignment status at March 31 | Variable: Total active cases, Arrears owing at beginning of March of the fiscal year, Total cases in complianceage of cases, Unknown payment assignment status, Regular payment due | 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; Payment; Law enforcement; Economic Justice; Official statistics; Population; Enforcement; Socioeconomic status","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":[0.002288303,0.002501185,0.0030565,0.00911539,0.003468114,0.004495086,0.005601318,0.001357531,0.08564593],"category_scores_gemma":[0.0181448,0.002178134,0.002293047,0.0405517,0.0006294402,0.00239473,0.002440187,0.003189306,0.04006878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06340022,"about_ca_system_score_gemma":0.1613928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964958,"about_ca_topic_score_gemma":0.9951525,"domain_scores_codex":[0.9954857,0.00028884,0.0005494802,0.000525825,0.002065534,0.001084556],"domain_scores_gemma":[0.9622105,0.001154282,0.001277943,0.0008862763,0.03232221,0.002148798],"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":[0.00003127988,0.00001031221,0.001846013,0.0002888303,0.00002586285,0.000007061569,0.00003255445,0.0000964184,0.000008291639,0.0003372872,0.9954626,0.001853546],"study_design_scores_gemma":[0.0002883004,0.00002993965,0.06511997,0.001584386,0.0001344002,0.00004682351,0.001140729,0.0007246287,0.0002379357,0.0007172105,0.9298472,0.0001285474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009907531,0.00006001341,0.00002497769,0.0001436328,0.00003278165,0.00002521021,0.9985734,0.00006011193,0.0009806707],"genre_scores_gemma":[0.00148273,0.0004200102,0.0004451088,0.0002170522,0.00002608006,0.0001920878,0.9919122,0.000113147,0.005191556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08564593,"threshold_uncertainty_score":0.4600029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03139535873980122,"score_gpt":0.2539922598151171,"score_spread":0.2225969010753159,"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."}}