{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002713517,0.002760781,0.0032524,0.009031167,0.003631472,0.004849308,0.006164237,0.001552406,0.09282456],"category_scores_gemma":[0.0210568,0.002434916,0.002596643,0.04130513,0.0006798361,0.002736116,0.002512093,0.003484381,0.04631428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06671784,"about_ca_system_score_gemma":0.1741889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962447,"about_ca_topic_score_gemma":0.9947635,"domain_scores_codex":[0.9948134,0.0003536842,0.0006372639,0.0006065808,0.002394888,0.001194046],"domain_scores_gemma":[0.9549435,0.001378428,0.001382548,0.001118462,0.03875921,0.002417842],"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":[0.00003071888,0.000009136356,0.001416557,0.0002632706,0.00002466529,0.000005965017,0.00002564295,0.00009123849,0.00000848557,0.0003073865,0.9961467,0.0016702],"study_design_scores_gemma":[0.0003103256,0.00002649582,0.04943374,0.001494807,0.0001307217,0.00004089521,0.0008249186,0.0006406031,0.0002348874,0.00075283,0.9459798,0.0001299921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007275259,0.00005523219,0.00002642388,0.0001576376,0.00003694873,0.00002668792,0.9985878,0.00006823604,0.0009682064],"genre_scores_gemma":[0.001163602,0.0004084679,0.0005230196,0.0002600516,0.00002896323,0.0002245722,0.9919422,0.0001456633,0.005303519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09282456,"threshold_uncertainty_score":0.4840741,"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."}}