{"id":"W6939163582","doi":"10.6068/dp14ba887cd1778","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | 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: 075-001-025.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic Justice; Law enforcement; Official statistics; Population; Socioeconomic status; Economic statistics; Crime statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001295713,0.0009579955,0.002224376,0.0002117949,0.0000752249,0.00008285837,0.001346862,0.000415367,0.001603988],"category_scores_gemma":[0.0002888769,0.0009143139,6.891718e-7,0.0005765677,0.0006505519,0.0002729482,0.001549174,0.0005147492,0.0000097553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115132,"about_ca_system_score_gemma":0.004539281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997598,"about_ca_topic_score_gemma":0.998381,"domain_scores_codex":[0.9935998,0.0005656309,0.00182539,0.001369656,0.001605988,0.001033478],"domain_scores_gemma":[0.9946167,0.0006933615,0.001565136,0.002183338,0.0002813709,0.0006600886],"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":[0.001518815,0.0003298826,0.009894907,0.0007360924,0.0008590719,0.0000583165,0.00003040333,0.00004031059,0.00000424092,0.00026327,0.9861851,0.000079631],"study_design_scores_gemma":[0.002961891,0.0004386662,0.007229139,0.0003537868,0.001248772,0.0004204938,0.0002612806,0.00006061456,8.092435e-7,1.24044e-7,0.9859143,0.001110059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001688369,0.001316454,0.000004029206,9.172957e-7,0.0001339689,0.001956655,0.9942555,0.00001920085,0.0006249322],"genre_scores_gemma":[0.005223969,0.0003901954,0.0002540273,0.00003696654,0.00005781452,0.00001752718,0.9923084,0.0002979366,0.001413191],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004327768,"threshold_uncertainty_score":0.9993308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02846136633135037,"score_gpt":0.2672809457146643,"score_spread":0.2388195793833139,"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."}}