{"id":"W2800174757","doi":"10.1503/cmaj.170901","title":"Assessment of potential bias in research grant peer review in Canada","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute of Health Services and Policy Research; McGill University Health Centre; Canadian Institutes of Health Research","funders":"Canadian Institutes of Health Research","keywords":"Confidence interval; Productivity; Medicine; Peer review; Principal (computer security); Psychology; Family medicine; Demography; Computer science; Political science; Internal medicine; Sociology; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":["metaresearch"],"category_scores_codex":[0.3853834,0.0007866556,0.002297683,0.01486021,0.007703655,0.008521469,0.006014507,0.001805879,0.002486223],"category_scores_gemma":[0.6397077,0.001069097,0.001860133,0.02084769,0.006518946,0.00219647,0.008079884,0.002032647,0.0003064116],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08593366,"about_ca_system_score_gemma":0.254633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8103337,"about_ca_topic_score_gemma":0.8331755,"domain_scores_codex":[0.4842272,0.1901312,0.07120944,0.0180165,0.2236707,0.01274501],"domain_scores_gemma":[0.2065995,0.2632891,0.1560387,0.02669231,0.3305618,0.01681847],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009861424,0.00009034197,0.8009591,0.005175228,0.002040849,0.0004781219,0.01840034,0.001370818,0.0005444861,0.008476632,0.01635936,0.1451186],"study_design_scores_gemma":[0.0002921233,0.0003032631,0.9278027,0.004114749,0.0009661574,0.0005742123,0.006543987,0.006975978,0.001154776,0.005007779,0.04595943,0.0003049159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7397208,0.05530048,0.03455853,0.05527296,0.003279729,0.01562048,0.007439151,0.0005491355,0.08825872],"genre_scores_gemma":[0.974906,0.003340465,0.01364337,0.002088117,0.0002879004,0.001989977,0.0006797627,0.00007732451,0.002987074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9140663,"threshold_uncertainty_score":0.7579317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6250098631629204,"score_gpt":0.6052866715713491,"score_spread":0.01972319159157132,"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."}}