{"id":"W6939271775","doi":"10.6068/dp14ba8d3587d8","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: Total age groups, Heavy equipment and crane operators, Reinstatement during the reporting period, Females | 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; 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":[0.002806021,0.002537898,0.002915286,0.009449817,0.003438703,0.004959423,0.00540609,0.001659998,0.09385357],"category_scores_gemma":[0.02350548,0.001958688,0.002415744,0.0427285,0.0006798533,0.002597258,0.002392448,0.003481095,0.05169304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05910674,"about_ca_system_score_gemma":0.1706125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994671,"about_ca_topic_score_gemma":0.9921106,"domain_scores_codex":[0.9942991,0.0003807181,0.0006905429,0.0006979583,0.002661642,0.00127009],"domain_scores_gemma":[0.9532207,0.0018112,0.001436989,0.00123352,0.04018955,0.002108054],"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":[0.00002787939,0.000006964858,0.001091288,0.000332902,0.00002476898,0.000006725882,0.00002163533,0.0001144354,0.000008787444,0.0003273464,0.9962463,0.001791038],"study_design_scores_gemma":[0.0001987345,0.00001634873,0.02959926,0.001302979,0.0001022306,0.00003222808,0.0004982135,0.0004932446,0.0001838915,0.0006456293,0.9668265,0.0001007709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005188181,0.00006318518,0.00002476931,0.0001477828,0.00003456878,0.00001906427,0.9987691,0.00005349181,0.0008361337],"genre_scores_gemma":[0.0009241789,0.0004154393,0.0004347073,0.0002133776,0.00002621211,0.0001676098,0.9932375,0.0001292124,0.004451765],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09385357,"threshold_uncertainty_score":0.4288515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0437414449217461,"score_gpt":0.2737114815086101,"score_spread":0.229970036586864,"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."}}