{"id":"W2794944797","doi":"10.1371/journal.pbio.2004089","title":"Assessing scientists for hiring, promotion, and tenure","year":2018,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":486,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"National Institutes of Health; Nature; European Commission; Imperial College London; Universitair Medisch Centrum Utrecht; Wellcome Trust","keywords":"Incentive; Promotion (chess); Status quo; Public relations; Unintended consequences; Process (computing); Round table; Quality (philosophy); Science policy; Political science; Engineering ethics; Business; Public administration; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.4381817,0.001023041,0.001672363,0.01920713,0.01740969,0.02919044,0.00497813,0.007254438,0.007502996],"category_scores_gemma":[0.6279981,0.001381354,0.001841486,0.01171873,0.01457019,0.0267149,0.0127086,0.009628235,0.004624313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01441684,"about_ca_system_score_gemma":0.0878738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00553764,"about_ca_topic_score_gemma":0.0109391,"domain_scores_codex":[0.6306301,0.2256599,0.05240744,0.01046797,0.07161202,0.009222565],"domain_scores_gemma":[0.2766907,0.4348341,0.06374215,0.03338265,0.1703841,0.02096632],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003381481,0.0002548448,0.05405025,0.005369185,0.000245271,0.0003801002,0.04880659,0.0009253122,0.002481093,0.1803285,0.1518609,0.5549598],"study_design_scores_gemma":[0.0001461501,0.0007620383,0.04431201,0.008947267,0.0003299332,0.0005099791,0.05723029,0.001861276,0.004756657,0.256396,0.6241017,0.0006467397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05968115,0.02736437,0.1039936,0.6741362,0.01658678,0.004672881,0.001424317,0.0007673638,0.1113733],"genre_scores_gemma":[0.568717,0.02360723,0.3448549,0.03430455,0.00643213,0.00438838,0.0009517556,0.0003405013,0.01640358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5618183,"threshold_uncertainty_score":0.692822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3307954582303708,"score_gpt":0.5242215081055122,"score_spread":0.1934260498751413,"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."}}