{"id":"W3170240134","doi":"10.1371/journal.pbio.3001282","title":"Promoting inclusive metrics of success and impact to dismantle a discriminatory reward system in science","year":2021,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Mentoring and Academic Development","field":"Psychology","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Dalhousie University; Simon Fraser University; University of Victoria","funders":"","keywords":"Mentorship; Equity (law); Biology; Value (mathematics); Diversity (politics); Inclusion (mineral); Reward system; Public relations; Engineering ethics; Sociology; Political science; Social science; 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":[0.2349488,0.001753255,0.002276826,0.01380044,0.006809518,0.02318689,0.003878422,0.004097311,0.003349771],"category_scores_gemma":[0.4399026,0.0009866647,0.001242048,0.01027124,0.02514817,0.02885659,0.02467516,0.01277323,0.001709537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01077987,"about_ca_system_score_gemma":0.02203558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003625466,"about_ca_topic_score_gemma":0.007033512,"domain_scores_codex":[0.7794452,0.1368792,0.01345656,0.008466568,0.05778416,0.003968282],"domain_scores_gemma":[0.5343978,0.2212693,0.0622647,0.0723061,0.08965798,0.02010405],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002573743,0.0005071588,0.06100565,0.001146458,0.0002900787,0.00009452333,0.009010775,0.0038796,0.002085207,0.5808218,0.02230898,0.3185924],"study_design_scores_gemma":[0.00007193643,0.000509419,0.02857008,0.002170303,0.0001649357,0.0002249878,0.002889974,0.007959334,0.003646875,0.8921798,0.06126626,0.0003461131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06876153,0.004360747,0.6607156,0.148439,0.003803666,0.001318358,0.0008756644,0.00177231,0.1099531],"genre_scores_gemma":[0.6715438,0.001871532,0.3065588,0.010543,0.001442982,0.001835539,0.0003366597,0.0006103211,0.005257312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7650512,"threshold_uncertainty_score":0.9434443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03566948355033746,"score_gpt":0.3631850803738908,"score_spread":0.3275155968235534,"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."}}