{"id":"W6958152697","doi":"10.6068/dp14ba8f743eb48","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, Landscape and horticulture technicians and specialists, Already registered at the beginning of 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; Statistics education; 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":[0.002807678,0.002576858,0.003061182,0.009671011,0.003364418,0.004947563,0.005578769,0.001651101,0.08876821],"category_scores_gemma":[0.02250392,0.001939612,0.002362269,0.04462013,0.0007039919,0.002481996,0.002343333,0.003464181,0.04897412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06530209,"about_ca_system_score_gemma":0.1779795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954933,"about_ca_topic_score_gemma":0.993394,"domain_scores_codex":[0.99407,0.0004002901,0.0007235775,0.0007198147,0.002766191,0.001320098],"domain_scores_gemma":[0.9485031,0.001919206,0.001654132,0.001257788,0.04427729,0.002388567],"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":[0.00003197565,0.000008172703,0.001288428,0.0003585128,0.00002749961,0.000006996499,0.00002477732,0.0001214723,0.00001025728,0.0003227323,0.9958539,0.00194536],"study_design_scores_gemma":[0.0002020105,0.00001861253,0.03542034,0.001359699,0.0001100449,0.00003272334,0.0005718539,0.0005033804,0.0001982878,0.000598584,0.9608766,0.0001079439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005898703,0.00006759807,0.00002521714,0.000147328,0.00003444718,0.00002018443,0.9987549,0.00005520678,0.0008361816],"genre_scores_gemma":[0.001012441,0.0004284084,0.0004576676,0.0002233088,0.00002637868,0.0001727395,0.9927064,0.0001270294,0.004845715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08876821,"threshold_uncertainty_score":0.473802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03588915327271047,"score_gpt":0.2633812199660889,"score_spread":0.2274920666933785,"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."}}