{"id":"W6901708536","doi":"10.6068/dp14ba8f915e841","title":"Trend 1991 - 2011. 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: Unknown degree, diploma or professional designation., Full professor, Females, Without senior administrative duties, Number of full time teaching staff | Units: , 1991-2011. 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; 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":[0.002641217,0.002468047,0.002955892,0.01006925,0.003392852,0.004756078,0.005344884,0.001613325,0.07799936],"category_scores_gemma":[0.02292843,0.001763551,0.002342106,0.04358257,0.0007028714,0.002481282,0.002400038,0.003440269,0.04201732],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06361819,"about_ca_system_score_gemma":0.1804271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957364,"about_ca_topic_score_gemma":0.9940169,"domain_scores_codex":[0.9946271,0.0003373412,0.0006027981,0.0006649508,0.002594159,0.001173736],"domain_scores_gemma":[0.9540427,0.001681351,0.001438714,0.001063791,0.03979243,0.001981076],"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":[0.00002529742,0.000006545193,0.001348864,0.0003464838,0.00002805096,0.000007157159,0.0000265763,0.0001234875,0.000008731565,0.0003567126,0.9959565,0.001765528],"study_design_scores_gemma":[0.0001741368,0.00001585599,0.03434317,0.001222198,0.0001105549,0.00003648692,0.00061002,0.0005291812,0.0001688331,0.0006522931,0.962038,0.0000993059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007070714,0.00008233292,0.00002739142,0.0001850134,0.00003571354,0.00001648203,0.9987286,0.00005392336,0.000799824],"genre_scores_gemma":[0.001286786,0.000499453,0.0004709962,0.0002578716,0.00003015378,0.0001539515,0.992523,0.0001191294,0.00465856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9363818,"threshold_uncertainty_score":0.4615844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03557558432257627,"score_gpt":0.2815242966434895,"score_spread":0.2459487123209132,"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."}}