{"id":"W4220968566","doi":"10.1136/ijgc-2021-003296","title":"Gender imbalance in gynecologic oncology authorship and impact of COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"International Journal of Gynecological Cancer","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Juravinski Cancer Centre","funders":"","keywords":"Gynecologic oncology; Medicine; Pandemic; Editorial board; Coronavirus disease 2019 (COVID-19); Institutional review board; Family medicine; MEDLINE; Oncology; Gynecology; Internal medicine; Library science; Surgery","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":[0.001373445,0.0001095306,0.0002041767,0.001910025,0.001052901,0.001742793,0.0004754701,0.0005789375,0.01707938],"category_scores_gemma":[0.01572693,0.0001289423,0.0002263746,0.002520219,0.0005722517,0.001293961,0.001706874,0.0009710838,0.001428362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018806,"about_ca_system_score_gemma":0.002308269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008081921,"about_ca_topic_score_gemma":0.01413389,"domain_scores_codex":[0.9978474,0.0004772773,0.0001846889,0.0002539504,0.0003538482,0.0008827198],"domain_scores_gemma":[0.9874296,0.002513847,0.003937057,0.0003797613,0.001638753,0.004101016],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001931034,0.00008214726,0.9729689,0.00004985358,0.00003120558,0.0002434843,0.003897755,0.00005290797,0.0002175707,0.001379329,0.004842854,0.01604089],"study_design_scores_gemma":[0.00001555778,0.00008401572,0.9740012,0.0001293903,0.0000159779,0.0003765269,0.01552718,0.000125234,0.0001120545,0.000858684,0.008739553,0.00001452564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778093,0.001181545,0.00008558194,0.007059087,0.0003660186,0.00002203772,0.002115694,0.000009340518,0.01135146],"genre_scores_gemma":[0.9965836,0.0003165825,0.00003643708,0.0003275162,0.0001261607,0.00001100326,0.0003234833,0.00001039795,0.002264674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9986265,"threshold_uncertainty_score":0.05713624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1539230942884508,"score_gpt":0.4645743501407473,"score_spread":0.3106512558522965,"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."}}