{"id":"W3170390204","doi":"10.1016/j.neuron.2021.06.002","title":"Gender bias in academia: A lifetime problem that needs solutions","year":2021,"lang":"en","type":"review","venue":"Neuron","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":345,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institute for Health and Care Research; National Institute on Deafness and Other Communication Disorders; National Eye Institute; Wellcome Trust","keywords":"Gender bias; Diversity (politics); Gender equity; Inequality; Equity (law); Psychology; Gender inequality; Work (physics); Mental health; Gender balance; Gender diversity; Balance (ability); Political science; Sociology; Social psychology; Public relations; Social science; Gender studies; Business; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001219386,0.0002269212,0.0007755639,0.0002384211,0.0004049937,0.00009261832,0.0004980934,0.001420837,0.0003789815],"category_scores_gemma":[0.0002237326,0.0002268953,0.0003666747,0.001017425,0.0001267531,0.0001877735,0.0002848555,0.002141122,0.0002435872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297219,"about_ca_system_score_gemma":0.001043611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009070632,"about_ca_topic_score_gemma":0.0003734255,"domain_scores_codex":[0.9965777,0.001665662,0.0003286017,0.0003827153,0.0005000781,0.0005452707],"domain_scores_gemma":[0.9991308,0.0002366962,0.0001940566,0.0002469273,0.00004027556,0.0001512734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002911148,0.0003354296,0.0008282969,0.008491207,0.0001348834,0.0001123704,0.03084042,0.00000792361,2.780264e-7,0.04872922,0.05439017,0.8561269],"study_design_scores_gemma":[0.00005984405,0.000008378849,0.00006976795,0.000813066,0.0001379962,0.000002218075,0.001329756,4.751679e-7,5.490218e-8,0.0001655605,0.9972103,0.0002025512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001649378,0.9548202,0.00001010883,0.0007333627,0.0003539971,0.0005202079,0.00003150523,0.0000675705,0.04344656],"genre_scores_gemma":[0.0001456956,0.9966653,0.00004140109,0.0003399849,0.0002243605,0.00002588956,0.00004104088,0.00001690371,0.00249943],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9428201,"threshold_uncertainty_score":0.9998755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5419953235050419,"score_gpt":0.3998204202885204,"score_spread":0.1421749032165214,"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."}}