{"id":"W6920231304","doi":"10.6068/dp14ba8d8fdce99","title":"Trend 1992 - 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, Heavy equipment and crane operators, New registration during the reporting period, Females | Units: #, 1992-2011. 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; Training (meteorology); 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":[0.002757133,0.002605329,0.002980245,0.009564196,0.003460676,0.005115207,0.005381729,0.001642522,0.09211174],"category_scores_gemma":[0.02338287,0.001985455,0.002398495,0.04401449,0.0007046722,0.0026639,0.002395446,0.003458339,0.05197818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05969379,"about_ca_system_score_gemma":0.1695553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994776,"about_ca_topic_score_gemma":0.9922536,"domain_scores_codex":[0.994296,0.0003924139,0.0006918414,0.0007062339,0.0026357,0.00127773],"domain_scores_gemma":[0.9545445,0.001677977,0.001380223,0.001193253,0.03914438,0.002059548],"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":[0.00002842141,0.000006652746,0.001075236,0.0003288882,0.00002544416,0.000006894388,0.00002173185,0.0001135553,0.000008718482,0.0003356927,0.99626,0.001788649],"study_design_scores_gemma":[0.0001953155,0.00001573502,0.02751931,0.001268387,0.000102888,0.00003223919,0.0005015962,0.0004882569,0.0001731438,0.0006556604,0.9689489,0.00009844195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005258265,0.0000685769,0.00002529308,0.0001553844,0.00003649964,0.00001821954,0.9987489,0.00005708657,0.0008373928],"genre_scores_gemma":[0.0009594303,0.0004261901,0.0004298557,0.000217828,0.00002726286,0.0001612015,0.993172,0.0001325155,0.004473683],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09211174,"threshold_uncertainty_score":0.4331108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04395967001021323,"score_gpt":0.2737980751504129,"score_spread":0.2298384051401997,"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."}}