{"id":"W4256619337","doi":"10.5694/mja2.50287","title":"Advancing women in medical leadership","year":2019,"lang":"en","type":"article","venue":"The Medical Journal of Australia","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre","funders":"","keywords":"Citation; Medical library; Library science; Sociology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.01397296,0.0004210335,0.0005402049,0.001608079,0.02070438,0.01361156,0.001193102,0.004828138,0.01811846],"category_scores_gemma":[0.02645519,0.0004086722,0.0003632644,0.001197346,0.01024256,0.006954664,0.01858763,0.01290534,0.002891633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007812473,"about_ca_system_score_gemma":0.0454753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041091,"about_ca_topic_score_gemma":0.03513306,"domain_scores_codex":[0.9853419,0.007192646,0.00028432,0.0004667317,0.002405285,0.004309092],"domain_scores_gemma":[0.9531506,0.004063364,0.001283307,0.0005020027,0.003094306,0.03790642],"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":[0.0001120699,0.0003927771,0.01301697,0.0004728815,0.00003363802,0.0008904191,0.1749009,0.00008615094,0.0009495539,0.139992,0.502423,0.1667296],"study_design_scores_gemma":[0.00002530336,0.0001502386,0.006162484,0.0007932669,0.00001340434,0.0003353557,0.0925012,0.00006785987,0.0001576442,0.01954065,0.880233,0.0000196267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03361689,0.01675465,0.0005921857,0.8040699,0.02003265,0.00006462854,0.00002672184,0.00004014224,0.1248022],"genre_scores_gemma":[0.557864,0.02022227,0.001636687,0.2127067,0.01188397,0.0001746772,0.00005151659,0.0001181215,0.195342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02070438,"threshold_uncertainty_score":0.07389694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07525582102250075,"score_gpt":0.357227983888199,"score_spread":0.2819721628656983,"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."}}