{"id":"W6976355377","doi":"10.6068/dp14ba8ffc74a64","title":"Trend 1975 - 1982. 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: No degree, diploma or professional designation, Other ranks (not elsewhere classified), Both sexes, With senior administrative duties, Median age of full-time teaching staff | Units: , 1975-1982. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-074.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mathematics and Applications","field":"Mathematics","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":[0.00250911,0.002473377,0.002852591,0.01128217,0.003441025,0.004714306,0.005255898,0.001455024,0.08683762],"category_scores_gemma":[0.02183526,0.001782511,0.002150691,0.05080681,0.0007195275,0.002491909,0.002311222,0.003196709,0.04517835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06357078,"about_ca_system_score_gemma":0.1879603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962973,"about_ca_topic_score_gemma":0.9947072,"domain_scores_codex":[0.9947118,0.0003299693,0.0006082287,0.0006617124,0.002494532,0.001193895],"domain_scores_gemma":[0.9555472,0.001554152,0.001368011,0.001083548,0.03848725,0.001959864],"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":[0.000026649,0.000006901075,0.001464695,0.0003465644,0.00002892015,0.000007519713,0.0000321405,0.0001316157,0.000009665407,0.0004793271,0.9954962,0.001969893],"study_design_scores_gemma":[0.0001499923,0.00001536423,0.0383979,0.001023638,0.00009759429,0.00003127006,0.0006427104,0.0004522464,0.0001579654,0.0006573657,0.9582822,0.00009179166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007926663,0.0000841135,0.00002894053,0.0001567653,0.0000369144,0.00001790976,0.9984967,0.00006083939,0.00103869],"genre_scores_gemma":[0.001542249,0.0005162937,0.0004876961,0.0002249023,0.0000313577,0.0001689727,0.9904026,0.0001368534,0.006489017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08683762,"threshold_uncertainty_score":0.4612405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04165186965665813,"score_gpt":0.2783888715507042,"score_spread":0.2367370018940461,"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."}}