{"id":"W4414397859","doi":"10.1101/2025.09.17.25335840","title":"Male Allyship to Advance Women’s Global Health Leadership in the Academy","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mentorship; Global Leadership; Global health; Work (physics); Leadership development; Face (sociological concept); Power (physics); Educational leadership","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007229228,0.0002875726,0.0002262261,0.0008042204,0.01279419,0.005940292,0.0008380181,0.001003772,0.007548177],"category_scores_gemma":[0.008346254,0.0001935711,0.0003174603,0.0005211855,0.006218684,0.002585339,0.00979744,0.003070477,0.0007489905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005304612,"about_ca_system_score_gemma":0.01451399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003209894,"about_ca_topic_score_gemma":0.01547765,"domain_scores_codex":[0.9926869,0.004711214,0.00009461936,0.000175033,0.0007382936,0.001593934],"domain_scores_gemma":[0.9911011,0.001899882,0.0006678664,0.0002955919,0.0005675165,0.005468063],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001265553,0.0005281534,0.03556305,0.000600112,0.00002519419,0.001952431,0.6200176,0.0002854249,0.004301991,0.07287809,0.05268241,0.2110391],"study_design_scores_gemma":[0.00002161998,0.0003111106,0.01770193,0.0005581905,0.00001472488,0.0006915633,0.5396176,0.000320199,0.001324153,0.01279167,0.4266084,0.00003883329],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6532737,0.0041455,0.008052491,0.1026286,0.003674258,0.0002231792,0.00005778704,0.000215394,0.2277291],"genre_scores_gemma":[0.9868053,0.000668815,0.001380657,0.002453753,0.0002635069,0.00003445006,0.000013421,0.00002176089,0.008358266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9927708,"threshold_uncertainty_score":0.03848779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1444403622027439,"score_gpt":0.3907116855684674,"score_spread":0.2462713233657235,"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."}}