{"id":"W6980402225","doi":"","title":"Canada Research Chair &amp; Tri-agency Institutional Programs Update","year":2018,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Commission; Government (linguistics); Research program","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":[0.03503931,0.001263618,0.001653248,0.01652654,0.00572131,0.008978107,0.01094279,0.00699655,0.09297891],"category_scores_gemma":[0.1138898,0.001492686,0.002620979,0.02785673,0.002481652,0.006792776,0.008077736,0.009594932,0.03499457],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05587262,"about_ca_system_score_gemma":0.3397186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7773256,"about_ca_topic_score_gemma":0.8764644,"domain_scores_codex":[0.9514276,0.003916713,0.003995638,0.001442874,0.03145611,0.007761067],"domain_scores_gemma":[0.6691964,0.01401869,0.01016958,0.00925146,0.2504945,0.04686935],"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":[0.00001876129,0.00003460207,0.0004104948,0.0001913805,0.000007919803,0.00001731327,0.00003669788,0.0000380784,0.000009648465,0.0007886267,0.9682447,0.03020179],"study_design_scores_gemma":[0.00002802785,0.00001618235,0.001758506,0.0009015783,0.00002691187,0.00004370407,0.0001726404,0.00003197229,0.00004265028,0.0003104236,0.9966472,0.00002030603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002387689,0.05760621,0.00426033,0.3893403,0.09746562,0.003077916,0.06787007,0.003951789,0.3740401],"genre_scores_gemma":[0.037036,0.1494891,0.02821985,0.1895137,0.02571,0.006399192,0.1113994,0.004336098,0.4478967],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9649607,"threshold_uncertainty_score":0.4479715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2166868723206982,"score_gpt":0.3902379361294835,"score_spread":0.1735510638087853,"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."}}