{"id":"W6957772229","doi":"10.6068/dp14ba8a5510053","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), age of children, by number of child beneficiaries and length of enrolment, at March 31 | Variable: 10 to 14 years old, Less than or equal to 1 year, Total number of children in cases | 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; Economic statistics; Census; Enforcement; Economic Justice; Official statistics; Publication; Social 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":[0.002619731,0.002683662,0.003031395,0.009624771,0.003428577,0.004826299,0.005643332,0.001609153,0.09694438],"category_scores_gemma":[0.02327984,0.002255592,0.002386774,0.04230528,0.0006571186,0.002656766,0.002457092,0.003397814,0.04669933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06439526,"about_ca_system_score_gemma":0.1638614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995911,"about_ca_topic_score_gemma":0.9942502,"domain_scores_codex":[0.9947544,0.0003629377,0.0006419619,0.0005853458,0.002468071,0.001187215],"domain_scores_gemma":[0.9546738,0.001635702,0.001491711,0.001072959,0.03875837,0.002367569],"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":[0.00002694969,0.000008003542,0.001217795,0.0002965516,0.00002204675,0.000006322791,0.00002385182,0.00009376442,0.000008405947,0.0003310397,0.9962135,0.00175186],"study_design_scores_gemma":[0.00026733,0.00002249811,0.04469441,0.001510636,0.0001093774,0.00003697133,0.0007162543,0.0006128519,0.0002075884,0.0007865431,0.9509149,0.0001206133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006481246,0.00006109606,0.00002471472,0.0001611373,0.00003524331,0.00002284335,0.9985828,0.00006254861,0.0009848075],"genre_scores_gemma":[0.001215121,0.0004509894,0.0005334989,0.0002585485,0.00002954323,0.0002124516,0.9913291,0.0001456041,0.005825252],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09694438,"threshold_uncertainty_score":0.4672225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782929342993385,"score_gpt":0.267900890817895,"score_spread":0.2400715973879611,"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."}}