{"id":"W6920617197","doi":"10.6068/dp14ba8d3516b5","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: Under 20 years, Metal workers (other), 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":"Statistics education; Census; Apprenticeship; Adult education; Descriptive statistics; Economic statistics; Socioeconomic status; 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":[0.002866771,0.002548876,0.003047467,0.009290116,0.003479372,0.004899537,0.005546865,0.001644939,0.09427834],"category_scores_gemma":[0.02308014,0.002006891,0.002468257,0.04151046,0.0006769713,0.002618,0.002414954,0.003525502,0.05322927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06157343,"about_ca_system_score_gemma":0.1753038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949269,"about_ca_topic_score_gemma":0.9924625,"domain_scores_codex":[0.9940624,0.0004119766,0.0007215611,0.0007022506,0.002799425,0.001302413],"domain_scores_gemma":[0.9509962,0.001746016,0.001438598,0.001204147,0.0424598,0.002155201],"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":[0.00002873175,0.000007162628,0.001097674,0.0003478069,0.0000248943,0.000006804957,0.00002206613,0.0001068785,0.000008996878,0.0003280209,0.9960694,0.001951535],"study_design_scores_gemma":[0.0001975929,0.00001758549,0.03117691,0.001380118,0.0001070047,0.0000338928,0.0005088034,0.0004697159,0.0001841229,0.0006367638,0.965184,0.0001034812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005599658,0.00007567527,0.00002707038,0.0001679154,0.00004077853,0.00002165482,0.9986071,0.00005815087,0.0009457213],"genre_scores_gemma":[0.001001927,0.0004927517,0.0004898886,0.0002509812,0.00003002132,0.0001835357,0.9920554,0.000145159,0.00535044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09427834,"threshold_uncertainty_score":0.4467486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05522069521782699,"score_gpt":0.2749403197368165,"score_spread":0.2197196245189895,"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."}}