{"id":"W6920370980","doi":"10.6068/dp14ba8a5cf826","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: 50 years and over, Total major trade groups, Total registration status, Both sexes | 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; Statistics education; Apprenticeship; 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":[0.00285394,0.002533953,0.0029961,0.009216578,0.0036878,0.00521739,0.005644504,0.001662502,0.1047586],"category_scores_gemma":[0.0232644,0.001973724,0.002382593,0.04360406,0.0007281385,0.002758025,0.002440066,0.003567228,0.05839052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06474981,"about_ca_system_score_gemma":0.1812887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953054,"about_ca_topic_score_gemma":0.9931426,"domain_scores_codex":[0.9942276,0.0003960112,0.0006615837,0.0006917414,0.002722485,0.001300571],"domain_scores_gemma":[0.9520513,0.001759768,0.001344174,0.001286989,0.04122266,0.002335103],"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":[0.00002824374,0.000006872719,0.001031835,0.0003154992,0.00002348273,0.000006266329,0.00002321588,0.0001145283,0.00000905377,0.0003871971,0.9960408,0.002012884],"study_design_scores_gemma":[0.0001755342,0.00001527432,0.02552889,0.001125586,0.00009008349,0.00002919093,0.0004753157,0.0004691893,0.0001666147,0.0006919738,0.9711355,0.00009684051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000546002,0.00007091431,0.00003025256,0.0001701732,0.00003998738,0.000021421,0.9984598,0.00006732266,0.001085586],"genre_scores_gemma":[0.001068578,0.0004806548,0.0005429736,0.0002459313,0.00002875905,0.0001854064,0.9917167,0.0001703554,0.005560716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1047586,"threshold_uncertainty_score":0.4697949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758867801148923,"score_gpt":0.2540807278394972,"score_spread":0.226492049828008,"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."}}