{"id":"W6976815111","doi":"10.6068/dp14ba8d8867e49","title":"Trend 1972 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Educational Attainment | Country: Canada | Table: Number and median age of full-time teaching staff at Canadian universities, by highest earned degree, staff functions, rank, sex | Variable: Doctorate, Associate professor, Females, With senior administrative duties, Median age of full-time teaching staff | Units: , 1972-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-070.","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; Educational attainment; Socioeconomic status; Official statistics; Summary statistics; Statistical analysis","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00242878,0.00246809,0.002761685,0.009411567,0.003276698,0.004757082,0.004916491,0.001584564,0.08109899],"category_scores_gemma":[0.02120978,0.001717587,0.002294197,0.04308533,0.0007028379,0.002474056,0.002257282,0.003292912,0.04398323],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05591087,"about_ca_system_score_gemma":0.1616129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951551,"about_ca_topic_score_gemma":0.9930717,"domain_scores_codex":[0.995005,0.0003073321,0.0005486087,0.0006331539,0.002407889,0.001098077],"domain_scores_gemma":[0.9595532,0.001517419,0.001242713,0.001080432,0.03489463,0.001711624],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002607519,0.000006521148,0.001169212,0.0003194865,0.0000282992,0.000007065959,0.00002245187,0.0001307399,0.00001063057,0.0003813821,0.9961547,0.001743466],"study_design_scores_gemma":[0.0001654739,0.00001391964,0.02702256,0.0009804879,0.00009216951,0.00003031001,0.0004413269,0.0004522935,0.0001748998,0.0006463784,0.9698874,0.00009268543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005370699,0.00006853793,0.00002776283,0.0001480133,0.00003599876,0.0000151242,0.9987726,0.00005613965,0.0008222532],"genre_scores_gemma":[0.001071561,0.0004110342,0.0004750422,0.0002201399,0.00002798909,0.0001326737,0.9931651,0.0001224069,0.004374089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9975712,"threshold_uncertainty_score":0.4056637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788706142890566,"score_gpt":0.260959996640916,"score_spread":0.2330729352120103,"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."}}