{"id":"W4318579189","doi":"10.32920/21979703","title":"Advancing women in science, medicine and global health","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Global Health and Surgery","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health science; New delhi; Center (category theory); Library science; Political science; Medicine; Sociology; Media studies; Gerontology; Family medicine; Medical education; Pathology","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":[0.01252073,0.000978275,0.0009456176,0.001094244,0.00377034,0.01262973,0.0008702882,0.00878323,0.04303401],"category_scores_gemma":[0.02428289,0.000382307,0.0006179655,0.001881488,0.006482414,0.01079833,0.008541225,0.01165218,0.01434612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004269497,"about_ca_system_score_gemma":0.009570697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004067,"about_ca_topic_score_gemma":0.00844033,"domain_scores_codex":[0.9950263,0.002433015,0.0001378701,0.0004224987,0.001250686,0.0007296702],"domain_scores_gemma":[0.9886171,0.006074786,0.000447645,0.0008582809,0.001053266,0.002948933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001453397,0.000005588572,0.0001314187,0.0001405829,0.00001064316,0.00004814676,0.0009938859,0.00002115414,0.0000552987,0.08858564,0.8866262,0.02336701],"study_design_scores_gemma":[0.000005340952,0.000003936481,0.0001404374,0.0001340662,0.000003343143,0.00002754778,0.0004281617,0.0000174939,0.00003724706,0.02822807,0.9709703,0.000004010268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003581629,0.03838706,0.0008028946,0.8507481,0.06119746,0.00002213597,0.0002445871,0.0001082623,0.04813141],"genre_scores_gemma":[0.04623634,0.1196639,0.005008933,0.4152445,0.1804792,0.0001987234,0.0006421686,0.0009628195,0.2315634],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04303401,"threshold_uncertainty_score":0.1439632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03398801824038523,"score_gpt":0.4011922315395198,"score_spread":0.3672042132991346,"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."}}