{"id":"W6976091383","doi":"10.6068/dp14ba8d63fbf9","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: 45 to 49 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; Economic statistics; Socioeconomic status; 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":[0.002893612,0.002522514,0.002983634,0.009627885,0.003492006,0.005052404,0.00546762,0.001681418,0.09861618],"category_scores_gemma":[0.02421717,0.002016274,0.002385692,0.04414677,0.0006795035,0.002664399,0.002406314,0.003539889,0.05482925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06099555,"about_ca_system_score_gemma":0.1730291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947175,"about_ca_topic_score_gemma":0.9922841,"domain_scores_codex":[0.9940534,0.0004152686,0.000726324,0.0007166783,0.002773898,0.001314503],"domain_scores_gemma":[0.9515452,0.001886764,0.001481689,0.001271909,0.04160895,0.002205596],"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":[0.00002797238,0.000007018491,0.001049889,0.0003315804,0.00002423446,0.000006526761,0.00002252114,0.0001075103,0.000008639424,0.0003454751,0.9962175,0.001851018],"study_design_scores_gemma":[0.0001899728,0.00001614267,0.02873864,0.001234783,0.00009736435,0.00003106333,0.0004999667,0.0004452471,0.0001755195,0.0006352025,0.9678364,0.00009960819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005318626,0.0000667969,0.00002653748,0.0001539286,0.00003744206,0.00002095499,0.9986588,0.00005715933,0.000925278],"genre_scores_gemma":[0.0009354433,0.0004379714,0.0004641138,0.0002233944,0.00002815476,0.0001816655,0.9925896,0.000141328,0.004998374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09861618,"threshold_uncertainty_score":0.4425557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04266345856292457,"score_gpt":0.2715217806265408,"score_spread":0.2288583220636162,"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."}}