{"id":"W2737110623","doi":"10.20381/ruor-20659","title":"Improving the Canadian Institute for Health Research's (CIHR) grant applications: An analysis of the policies governing the funding process","year":2017,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Political science; Process (computing); Public administration; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":["metaresearch"],"category_scores_codex":[0.34275,0.001241369,0.002331991,0.0155836,0.02930886,0.04225383,0.01000508,0.01551307,0.007835612],"category_scores_gemma":[0.4777778,0.002824851,0.001931092,0.02408406,0.01958531,0.007938095,0.009618774,0.01565186,0.00105477],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2429582,"about_ca_system_score_gemma":0.6097648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9028082,"about_ca_topic_score_gemma":0.9422639,"domain_scores_codex":[0.6531255,0.0917428,0.01409232,0.009964498,0.1395597,0.09151508],"domain_scores_gemma":[0.4782679,0.3134865,0.02455477,0.01789257,0.1298278,0.03597049],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004321754,0.000243649,0.03868504,0.000439935,0.0002254141,0.0002471873,0.00732652,0.004057691,0.001130122,0.8168337,0.06893095,0.06144768],"study_design_scores_gemma":[0.0009967377,0.0006017003,0.2493317,0.002979571,0.001033952,0.00025304,0.01727825,0.01399857,0.004745023,0.2101124,0.4975213,0.001147775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1709308,0.01086533,0.01527242,0.3647946,0.001871589,0.004857918,0.004424758,0.0004701054,0.4265126],"genre_scores_gemma":[0.905624,0.005013646,0.01511747,0.0356132,0.0007502664,0.001775214,0.0006903754,0.0002910199,0.03512473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7570418,"threshold_uncertainty_score":0.8780612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4125657475775911,"score_gpt":0.515931628152053,"score_spread":0.1033658805744618,"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."}}