{"id":"W6901557971","doi":"10.6068/dp14ba8d4b18449","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: 20 to 24 years, Landscape and horticulture technicians and specialists, Total registration status, 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; Official statistics; Training (meteorology); Socioeconomic status","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":[0.00273355,0.002540635,0.002884818,0.009284797,0.003558554,0.005139643,0.0053926,0.001634066,0.1007664],"category_scores_gemma":[0.02273143,0.001930073,0.002324939,0.04304829,0.0006944153,0.002652149,0.002379705,0.003466267,0.05655517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06172013,"about_ca_system_score_gemma":0.1700654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949145,"about_ca_topic_score_gemma":0.9925846,"domain_scores_codex":[0.9944658,0.0003666896,0.0006525264,0.0006784367,0.002589873,0.001246773],"domain_scores_gemma":[0.9523626,0.001855181,0.001381621,0.001236593,0.04091389,0.002250028],"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":[0.00002630213,0.000006761842,0.001016529,0.0003009207,0.00002155547,0.000006163718,0.0000216522,0.0001088746,0.000008524967,0.0003274213,0.9963129,0.001842404],"study_design_scores_gemma":[0.0001775771,0.00001472798,0.02635929,0.001173148,0.00008685182,0.00002842342,0.0004818095,0.0004688272,0.0001704891,0.0006287104,0.9703161,0.00009411344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005075561,0.00006196702,0.00002537208,0.0001475588,0.00003382695,0.00001863287,0.9986834,0.00005733664,0.0009211415],"genre_scores_gemma":[0.0009015002,0.0004062243,0.0004475709,0.0002099173,0.00002531438,0.0001673032,0.9928115,0.0001389598,0.004891682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1007664,"threshold_uncertainty_score":0.447813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277253928641605,"score_gpt":0.2583055775852848,"score_spread":0.2255330382988687,"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."}}