{"id":"W4413546306","doi":"10.64628/aam.thr3gkanv","title":"Diversity is indispensable to excellence: The Canada Research Chairs program","year":2019,"lang":"en","type":"article","venue":"","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Excellence; Diversity (politics); Political science; Library science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0259173,0.001176925,0.001302329,0.002492677,0.02778246,0.02055201,0.002890219,0.0121792,0.02041316],"category_scores_gemma":[0.0366577,0.0008483314,0.001041311,0.003147945,0.0132239,0.00619208,0.01276221,0.017492,0.002673162],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1644182,"about_ca_system_score_gemma":0.6229009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.94374,"about_ca_topic_score_gemma":0.9862599,"domain_scores_codex":[0.9706683,0.003366946,0.0005591247,0.001257071,0.01216055,0.01198803],"domain_scores_gemma":[0.8257275,0.005835402,0.00158749,0.001493014,0.02687859,0.1384781],"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":[0.0001006285,0.00008527699,0.003527242,0.00007370114,0.00002961573,0.000135484,0.0009178455,0.0002042891,0.0001317339,0.04965675,0.9198396,0.02529792],"study_design_scores_gemma":[0.0001761258,0.00007097068,0.01787913,0.0006531851,0.00005839593,0.0001207298,0.006273968,0.0003076969,0.0002486063,0.01942823,0.9546473,0.0001357889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003828106,0.004910192,0.0001516529,0.9483854,0.01011752,0.00005484463,0.0003082257,0.00002981041,0.03221435],"genre_scores_gemma":[0.2626453,0.03261897,0.003578834,0.4180875,0.01160025,0.0002562105,0.000876741,0.0002869621,0.2700492],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9740827,"threshold_uncertainty_score":0.9691564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2690234134306345,"score_gpt":0.4906995848897293,"score_spread":0.2216761714590947,"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."}}