{"id":"W6957935378","doi":"10.6068/dp14ba877c09178","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, Arrears owing, 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":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arrears; Census; Economic Justice; Official statistics; Payment; Law enforcement; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001453725,0.0005662931,0.001430461,0.0002128629,0.00003805879,0.0001375626,0.001354857,0.0002351318,0.0001638855],"category_scores_gemma":[0.0001294324,0.000523829,4.647396e-7,0.0003762447,0.0002751479,0.0002610561,0.001049549,0.0003230773,0.000001591972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557381,"about_ca_system_score_gemma":0.003102069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996217,"about_ca_topic_score_gemma":0.989255,"domain_scores_codex":[0.9949815,0.0005785864,0.001269177,0.001122014,0.001243625,0.000805065],"domain_scores_gemma":[0.9959692,0.0004652013,0.0008045666,0.002020396,0.0001359353,0.0006047396],"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":[0.0001811978,0.00007491538,0.0009210765,0.0006518851,0.0002292994,0.0002000875,0.00006058869,0.00005407238,0.00001212732,0.0001443853,0.9972672,0.0002031757],"study_design_scores_gemma":[0.001333424,0.0003586423,0.001545958,0.0002617375,0.0002555932,0.00009405382,0.0003243282,0.0007047339,6.856139e-7,1.837641e-7,0.9945472,0.0005734967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000207368,0.001295448,0.0001217288,0.000001773604,0.0002493843,0.001243702,0.996686,0.0000139908,0.0001806225],"genre_scores_gemma":[0.002625952,0.0002080212,0.001610075,0.0000334855,0.00003520389,0.00001475754,0.9945633,0.00009037343,0.0008187728],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0103668,"threshold_uncertainty_score":0.9997213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376656651069162,"score_gpt":0.2415502431518426,"score_spread":0.2177836766411509,"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."}}