{"id":"W6901435587","doi":"10.6068/dp14baa3b95b328","title":"Trend 1991 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Adult Education and Training | Country: Canada | Province: Northwest Territories | Table: Registered apprenticeship training, registrations, by age groups, sex and major trade groups | Variable: 20 to 24 years, Automotive service, Already registered at the beginning of the reporting period, 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":"Statistics education; Census; Apprenticeship; Adult education; Descriptive statistics; Socioeconomic status; Training (meteorology); Economic statistics; Official 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00281863,0.00250834,0.00314844,0.009597859,0.003507825,0.004813858,0.005624697,0.001640929,0.08941355],"category_scores_gemma":[0.02251999,0.001972016,0.002401404,0.04514421,0.0006972858,0.002527917,0.002302348,0.003383658,0.04817322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06619722,"about_ca_system_score_gemma":0.1799076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956926,"about_ca_topic_score_gemma":0.9937944,"domain_scores_codex":[0.9940931,0.000398758,0.00073817,0.0007343608,0.002735529,0.001300016],"domain_scores_gemma":[0.9521586,0.001778063,0.001501897,0.001229576,0.04118777,0.002144018],"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":[0.00003169504,0.000007461183,0.001266953,0.0003709143,0.00002868468,0.000007464941,0.00002595959,0.0001196601,0.00001045959,0.0003648547,0.9957795,0.00198632],"study_design_scores_gemma":[0.0002037091,0.00001705188,0.03382524,0.001280192,0.0001115236,0.00003396453,0.0005563759,0.0004725437,0.0001925654,0.000627962,0.9625713,0.0001075691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005944818,0.00007183729,0.00002684535,0.0001511471,0.00003778043,0.00002111209,0.9986643,0.00005189026,0.0009157835],"genre_scores_gemma":[0.001092816,0.0004698198,0.0004965927,0.000229105,0.00002790719,0.0001872506,0.9922668,0.0001317191,0.005098001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08941355,"threshold_uncertainty_score":0.4802967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03522796182847383,"score_gpt":0.2622925511758153,"score_spread":0.2270645893473415,"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."}}