{"id":"W6976736754","doi":"10.6068/dp14ba896259925","title":"Trend 1996 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Adult Education and Training | Country: Canada | Table: Registered apprenticeship training, registrations, by age groups, sex and major trade groups | Variable: 50 years and over, User support technicians, Total registration status, Males | Units: #, 1996-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-067.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Census; Apprenticeship; Adult education; Descriptive statistics; Economic statistics; Official statistics; Training (meteorology)","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":[0.002769683,0.002592196,0.002914986,0.00975992,0.003698253,0.005453378,0.005470359,0.001582015,0.09942487],"category_scores_gemma":[0.02266802,0.001980324,0.002390009,0.04571092,0.0007360882,0.002716246,0.002461713,0.003364158,0.05485754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06480055,"about_ca_system_score_gemma":0.1800102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954398,"about_ca_topic_score_gemma":0.9932098,"domain_scores_codex":[0.9941798,0.0003736604,0.0006776733,0.0007009228,0.002787124,0.001280797],"domain_scores_gemma":[0.9529755,0.001600206,0.001347932,0.001300759,0.04059646,0.002179121],"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":[0.00003141708,0.00000711118,0.001185962,0.0003355348,0.00002644565,0.00000711053,0.00002605276,0.0001225793,0.00001044531,0.0004056633,0.9956793,0.002162447],"study_design_scores_gemma":[0.0001683136,0.00001453582,0.02581073,0.001144611,0.00009496268,0.00002944363,0.0005028087,0.0004479215,0.000183784,0.0006583983,0.9708487,0.00009568303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005681693,0.00006832945,0.00002890518,0.0001598336,0.00003859488,0.00002050607,0.9984731,0.00006793129,0.001085907],"genre_scores_gemma":[0.001104985,0.0004746587,0.0005260172,0.0002236098,0.0000273262,0.0001795891,0.9916306,0.0001663541,0.005666923],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09942487,"threshold_uncertainty_score":0.4701631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04194951296657233,"score_gpt":0.2455917022931229,"score_spread":0.2036421893265506,"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."}}