{"id":"W6939135419","doi":"10.6068/dp14ba8ea1c7f8","title":"Trend 1971 - 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: Professional degrees, Other ranks (not elsewhere classified), Both sexes, Total staff function, Number of full time teaching staff | Units: , 1971-2011. 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; 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":[0.002708827,0.002607348,0.002906472,0.01054615,0.003327794,0.004828427,0.0053388,0.001617892,0.08513714],"category_scores_gemma":[0.02331941,0.001937443,0.002324344,0.04616698,0.0007258651,0.002584766,0.002457817,0.003468127,0.04656379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06554306,"about_ca_system_score_gemma":0.1814548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957296,"about_ca_topic_score_gemma":0.9936751,"domain_scores_codex":[0.9943165,0.0003481448,0.0006235309,0.0006827908,0.00277414,0.001254963],"domain_scores_gemma":[0.9528961,0.001759198,0.001432263,0.001139838,0.04076449,0.002008098],"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":[0.0000234097,0.000006270448,0.001169818,0.000321585,0.00002554867,0.000006378116,0.00002456748,0.0001228307,0.000009351854,0.0003388865,0.9961367,0.001814641],"study_design_scores_gemma":[0.0001629148,0.00001431513,0.03148683,0.001081044,0.00009440736,0.00003036218,0.000528471,0.0004582168,0.000167819,0.0005996798,0.9652829,0.00009290472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006211567,0.00007658332,0.00002848344,0.0001671227,0.000037909,0.00001702393,0.998696,0.00006063089,0.0008541492],"genre_scores_gemma":[0.001168675,0.0004791083,0.0004945309,0.0002476412,0.00003132135,0.0001610999,0.991944,0.0001402608,0.00533353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08513714,"threshold_uncertainty_score":0.4755504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141783462002429,"score_gpt":0.2468910965258391,"score_spread":0.2254732619058148,"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."}}