{"id":"W6958017885","doi":"10.6068/dp14ba8f8828f82","title":"Trend 1971 - 1992. 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, Full professor, Both sexes, With senior administrative duties, Median age of full-time teaching staff | Units: , 1971-1992. 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":[0.002763652,0.002603468,0.002950003,0.0107584,0.003368938,0.004951447,0.005450164,0.001593588,0.08382259],"category_scores_gemma":[0.02431742,0.00193307,0.002314618,0.04878045,0.0007518511,0.002599192,0.002420407,0.003561006,0.04774832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06217599,"about_ca_system_score_gemma":0.1823033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956116,"about_ca_topic_score_gemma":0.9934682,"domain_scores_codex":[0.9943336,0.0003649009,0.0006488629,0.0007339737,0.002700417,0.00121822],"domain_scores_gemma":[0.9508563,0.001850985,0.001502059,0.001261902,0.04252708,0.002001776],"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":[0.00002591773,0.000006707884,0.001314626,0.0003468369,0.00002968635,0.000007068592,0.00002711529,0.0001338732,0.000009302021,0.0003886718,0.9958476,0.001862611],"study_design_scores_gemma":[0.0001713458,0.00001425394,0.03078478,0.001029366,0.00009912629,0.00002914875,0.0005218206,0.0004232497,0.0001497366,0.0006368083,0.9660537,0.00008669489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006078324,0.00007900331,0.00002743085,0.0001577516,0.00003569026,0.00001609228,0.9987947,0.00005626552,0.0007722923],"genre_scores_gemma":[0.00112669,0.000448025,0.0004529106,0.0002155665,0.00002806988,0.0001536848,0.9927939,0.0001218153,0.004659337],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08382259,"threshold_uncertainty_score":0.4511205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0309838998147192,"score_gpt":0.2681583915432955,"score_spread":0.2371744917285762,"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."}}