{"id":"W4416653911","doi":"10.31235/osf.io/b7emr_v2","title":"Voices of Women in Medicine: Reflections on Structural Inequities, Resilience, and Pathways Forward","year":2025,"lang":"","type":"article","venue":"","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Vision; Gender equity; Thematic analysis; Optimism; Face (sociological concept); Equity (law); Lived experience","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":[],"consensus_categories":[],"category_scores_codex":[0.01839023,0.0009459998,0.000985067,0.001944155,0.02540454,0.01285605,0.00207445,0.005317526,0.004306655],"category_scores_gemma":[0.02396501,0.0008157281,0.0007223237,0.001991267,0.0258986,0.0104783,0.01670769,0.01024821,0.0004569157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009166881,"about_ca_system_score_gemma":0.01102503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028086,"about_ca_topic_score_gemma":0.03248179,"domain_scores_codex":[0.9827748,0.01221338,0.0003491233,0.0006436296,0.0009737276,0.003045344],"domain_scores_gemma":[0.9818045,0.0123438,0.001390649,0.0003294633,0.0009521185,0.003179386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002391036,0.000007449157,0.001340748,0.00006674253,0.000005727329,0.001026658,0.9854459,0.00002004211,0.0002300581,0.006192822,0.002112581,0.003527368],"study_design_scores_gemma":[0.000002807307,0.00001016749,0.0004001465,0.0001542796,0.000003627002,0.0003302092,0.9750817,0.00001579829,0.00008272893,0.001259873,0.02264919,0.000009425697],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6116418,0.01934775,0.002876737,0.318802,0.003070164,0.0001004752,0.0001667014,0.00004543168,0.04394905],"genre_scores_gemma":[0.9720802,0.005964752,0.0007898181,0.01469384,0.0004927237,0.00008668787,0.00003328784,0.00005377549,0.005804987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02540454,"threshold_uncertainty_score":0.09725797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578919333315542,"score_gpt":0.3413820115873047,"score_spread":0.3055928182541493,"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."}}