{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01555112,0.00006394079,0.0002347181,0.0000793752,0.00007610394,0.00002434618,0.001186513,0.0001696662,0.02092916],"category_scores_gemma":[0.00298953,0.00003994039,0.0000663106,0.0002637679,0.000550934,0.0001528515,0.00005879969,0.0009058076,0.000163309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016358,"about_ca_system_score_gemma":0.0006505334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003396956,"about_ca_topic_score_gemma":0.0003735386,"domain_scores_codex":[0.9949937,0.0003883937,0.000322509,0.00007308672,0.003696701,0.0005255552],"domain_scores_gemma":[0.9985774,0.0004121404,0.0001264298,0.00009116055,0.00007628094,0.0007165667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000903003,0.0007728532,0.3621573,0.000264622,0.0003425459,0.007693556,0.3052149,0.00007350441,0.0001781829,0.02785118,0.1808515,0.1136969],"study_design_scores_gemma":[0.004876201,0.0007613002,0.06446304,0.001934904,0.0000581356,0.0003392155,0.6270319,0.00003652728,0.00005414823,0.007426503,0.2926763,0.0003418254],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925913,0.00009550173,0.00001756594,0.06777938,0.001331602,0.00006074839,2.779531e-7,0.000005968506,0.004795962],"genre_scores_gemma":[0.9926111,0.0001414248,0.00001668827,0.002279567,0.000770058,4.029718e-7,1.707002e-7,0.00000311369,0.004177444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.321817,"threshold_uncertainty_score":0.9799659,"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."}}