{"id":"W6920175712","doi":"10.6068/dp14ba8e3189859","title":"Trend 1973 - 2010. Statistics Canada. CANSIM: Education, Training and Learning - Teachers and Educators | Country: Canada | Table: Number and median age of full-time teaching staff at Canadian universities, by highest earned degree, staff functions, rank, sex | Variable: Professional degrees, Assistant professor, Males, With senior administrative duties, Median age of full-time teaching staff | Units: , 1973-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-074.","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; Socioeconomic status; Economic statistics; Statistical analysis; 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":[0.002646641,0.002654777,0.002807349,0.01052841,0.003209079,0.004752032,0.005350415,0.001573945,0.08023823],"category_scores_gemma":[0.02174764,0.001845121,0.002335541,0.04619243,0.000748576,0.002597726,0.002370406,0.00342688,0.04629019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06165026,"about_ca_system_score_gemma":0.1777597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995464,"about_ca_topic_score_gemma":0.9932854,"domain_scores_codex":[0.9946061,0.0003218027,0.0006123433,0.0006723024,0.002629798,0.001157645],"domain_scores_gemma":[0.9564761,0.001549356,0.001385573,0.001070581,0.03756092,0.001957485],"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":[0.00002309048,0.000006176101,0.001171541,0.0003056451,0.0000255407,0.000006500466,0.00002266656,0.0001169031,0.000009935459,0.0003317676,0.9962023,0.001778007],"study_design_scores_gemma":[0.0001665922,0.00001406652,0.03002127,0.001012442,0.00009382676,0.00003046515,0.0004824422,0.0004451149,0.0001679734,0.0006277402,0.9668486,0.00008949931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005818558,0.0000720301,0.00002794254,0.0001513903,0.00003591321,0.00001657873,0.9987639,0.0000587855,0.0008153099],"genre_scores_gemma":[0.001096713,0.0004395949,0.0004703765,0.0002287297,0.00002844781,0.0001480609,0.9928221,0.0001263595,0.00463973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08023823,"threshold_uncertainty_score":0.447306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508668606017017,"score_gpt":0.255761137569641,"score_spread":0.2306744515094708,"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."}}