{"id":"W2917837895","doi":"10.1016/s0140-6736(19)30229-6","title":"Gender bias in academia","year":2019,"lang":"en","type":"letter","venue":"The Lancet","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Scopus; Publishing; Rigour; Publication bias; Gender bias; Psychology; Web of science; Library science; MEDLINE; Social psychology; Political science; Philosophy; Computer science; Epistemology; 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":[],"category_scores_codex":[0.01632065,0.0008607404,0.002181857,0.001931314,0.01659024,0.01341023,0.00320603,0.1414946,0.01388976],"category_scores_gemma":[0.0731612,0.001215906,0.001574234,0.001902845,0.01624896,0.008068824,0.00815422,0.07414296,0.004714837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01160977,"about_ca_system_score_gemma":0.02507776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03739721,"about_ca_topic_score_gemma":0.06668682,"domain_scores_codex":[0.9825012,0.00570617,0.001235191,0.002130141,0.003635597,0.004791704],"domain_scores_gemma":[0.9412495,0.03468021,0.003207459,0.001808352,0.004381418,0.01467292],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000097603,0.00004038633,0.002409206,0.0001338391,0.00004812591,0.001684372,0.001930849,0.0000533123,0.0001907098,0.02436387,0.9579548,0.011093],"study_design_scores_gemma":[0.0002694661,0.0001030275,0.005430856,0.001360861,0.0000909093,0.001615969,0.00738801,0.0003294821,0.0003396329,0.06420501,0.9187152,0.0001515104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005099705,0.001303916,0.00002116682,0.9879898,0.007511199,0.000004211185,0.00001794935,0.000003719836,0.00263788],"genre_scores_gemma":[0.007080139,0.0007118655,0.00002989866,0.9710496,0.01676053,0.00001872999,0.000009984472,0.00001134983,0.004327959],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9836794,"threshold_uncertainty_score":0.08631283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2101503457273329,"score_gpt":0.3512604309836131,"score_spread":0.1411100852562802,"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."}}