{"id":"W6920430786","doi":"10.6068/dp14ba8f5719f50","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: 35 to 39 years, Landscape and horticulture technicians and specialists, 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":"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":[0.002806605,0.002577527,0.003044114,0.009732969,0.003358868,0.004937381,0.005553547,0.001647502,0.08877912],"category_scores_gemma":[0.02238739,0.001936876,0.002370273,0.0447157,0.0006995781,0.002474763,0.002334442,0.003468948,0.04864866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06560145,"about_ca_system_score_gemma":0.1786596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954992,"about_ca_topic_score_gemma":0.9934065,"domain_scores_codex":[0.9940454,0.0003992653,0.0007247129,0.0007192977,0.00278363,0.001327644],"domain_scores_gemma":[0.948493,0.001917931,0.001649285,0.001250288,0.04429793,0.002391483],"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":[0.00003216688,0.000008178936,0.001296684,0.0003613598,0.00002752158,0.000006999032,0.00002496968,0.0001217018,0.00001036221,0.0003227635,0.9958192,0.00196809],"study_design_scores_gemma":[0.0002017094,0.00001859992,0.03596424,0.001356384,0.0001099021,0.00003257234,0.0005753036,0.0005008586,0.0001986026,0.0005927751,0.9603413,0.0001077023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005983974,0.00006835216,0.00002536358,0.0001486657,0.00003510183,0.00002046154,0.9987364,0.00005564023,0.0008501066],"genre_scores_gemma":[0.00102519,0.0004354108,0.0004625325,0.0002245974,0.00002671096,0.000175742,0.9925654,0.000128663,0.00495568],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08877912,"threshold_uncertainty_score":0.4759741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03807151173260412,"score_gpt":0.2654526111087853,"score_spread":0.2273810993761812,"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."}}