{"id":"W6939211644","doi":"10.6068/dp14ba8f7c4022","title":"Trend 1971 - 2004. 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, Assistant professor, Males, Without senior administrative duties, Number of full time teaching staff | Units: , 1971-2004. 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":[0.002768366,0.002634578,0.002952765,0.01107771,0.003480373,0.005035079,0.00558701,0.001653394,0.08988045],"category_scores_gemma":[0.02449465,0.001946168,0.002349447,0.04665481,0.0007708597,0.002634088,0.002433867,0.003463966,0.04988542],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06657046,"about_ca_system_score_gemma":0.1897732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957937,"about_ca_topic_score_gemma":0.9936165,"domain_scores_codex":[0.9940917,0.0003694689,0.0006668916,0.00073396,0.002865163,0.001272673],"domain_scores_gemma":[0.9491394,0.001866515,0.001574686,0.001242253,0.04405917,0.002118064],"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":[0.00002407025,0.000006681492,0.001173124,0.0003065578,0.00002605942,0.000006520537,0.00002450023,0.0001228813,0.000009232187,0.0003487667,0.9962049,0.001746801],"study_design_scores_gemma":[0.0001535217,0.00001426731,0.02850309,0.0009775951,0.00009131329,0.00002915427,0.0004974359,0.0004373057,0.0001586612,0.0006058005,0.9684443,0.00008743024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006218006,0.00007715038,0.00002943852,0.0001737198,0.0000400619,0.00001791848,0.9986364,0.00006417106,0.0008989269],"genre_scores_gemma":[0.00114339,0.0004577072,0.0004997497,0.0002516244,0.00003092537,0.0001612836,0.9917455,0.0001384776,0.005571332],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9334295,"threshold_uncertainty_score":0.4830047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03384032455169304,"score_gpt":0.2824206261166117,"score_spread":0.2485803015649187,"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."}}