{"id":"W6901638595","doi":"10.6068/dp14ba8c07a937","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, Machinists, 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":[0.002880348,0.00252766,0.002960766,0.009717448,0.003540313,0.005115197,0.005494822,0.001684378,0.09857006],"category_scores_gemma":[0.02419702,0.001986266,0.002393806,0.0441713,0.0006897384,0.002625471,0.002384807,0.003564249,0.05516402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06066162,"about_ca_system_score_gemma":0.1726298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947207,"about_ca_topic_score_gemma":0.9923719,"domain_scores_codex":[0.9941017,0.0004062245,0.000709387,0.0007138879,0.002757446,0.001311353],"domain_scores_gemma":[0.9508569,0.001904247,0.001502084,0.001288424,0.04220666,0.002241621],"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":[0.00002758889,0.000006875654,0.001046329,0.0003161732,0.00002366475,0.000006336554,0.00002196264,0.0001050636,0.000008525822,0.0003356581,0.9963236,0.001778285],"study_design_scores_gemma":[0.0001933947,0.00001619204,0.02893911,0.001233513,0.00009765955,0.00003080931,0.0005032306,0.0004582963,0.0001756374,0.0006440904,0.9676078,0.0001002301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005172389,0.00006371669,0.00002519857,0.0001519158,0.00003651698,0.00002010054,0.9987154,0.00005578251,0.0008796148],"genre_scores_gemma":[0.0008970097,0.00041023,0.0004387351,0.0002153267,0.00002738869,0.0001732796,0.9929956,0.0001358765,0.004706674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09857006,"threshold_uncertainty_score":0.4401329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04722850194611518,"score_gpt":0.2765694515108819,"score_spread":0.2293409495647667,"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."}}