{"id":"W6976709358","doi":"10.6068/dp14ba8e3239064","title":"Trend 1991 - 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: Total age groups, Stationary engineers and power plant operators, New registration during the reporting period, Males | Units: #, 1991-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-067.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Apprenticeship; Statistics education; Adult education; Descriptive statistics; Official statistics; Economic statistics; Training (meteorology); Socioeconomic status","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":[0.002569063,0.002472436,0.002862945,0.009267348,0.003480816,0.005004288,0.005253098,0.00161387,0.09174076],"category_scores_gemma":[0.0225438,0.001790813,0.002335064,0.04219051,0.0006719262,0.002506907,0.0023422,0.003355692,0.05322442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05459024,"about_ca_system_score_gemma":0.1541744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942641,"about_ca_topic_score_gemma":0.9922431,"domain_scores_codex":[0.9948678,0.0003532805,0.0006184285,0.0006611985,0.002345396,0.001153843],"domain_scores_gemma":[0.9583303,0.001708958,0.001322199,0.001203836,0.03547129,0.001963337],"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":[0.00002618974,0.000006098262,0.001045825,0.0003103142,0.00002364329,0.000006367349,0.0000211406,0.0001050025,0.000008402048,0.000311644,0.9964658,0.001669556],"study_design_scores_gemma":[0.0001831688,0.00001433785,0.02656271,0.001176879,0.00009501741,0.00003030617,0.0004705165,0.0004562231,0.0001678505,0.0006231337,0.970125,0.00009478598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004740034,0.00005921365,0.00002252144,0.0001284011,0.00003037706,0.00001532419,0.998911,0.00005127428,0.0007345231],"genre_scores_gemma":[0.0008209219,0.0003586001,0.0003747127,0.0001745428,0.000023249,0.0001369519,0.9942925,0.0001156514,0.003702976],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09174076,"threshold_uncertainty_score":0.3960817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02845215498375735,"score_gpt":0.2472703984551869,"score_spread":0.2188182434714295,"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."}}