{"id":"W4206555879","doi":"10.1016/j.jointm.2021.12.002","title":"Female representation in intensive care medicine: Challenges and perspectives from China","year":2022,"lang":"en","type":"article","venue":"Journal of Intensive Medicine","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Intensive care; Workforce; Intensive care unit; China; Medicine; Representation (politics); Work (physics); Nursing; Perspective (graphical); Family medicine; Intensive care medicine; Political 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001472558,0.0001282285,0.0005445507,0.0004274004,0.0002836494,0.000008422222,0.0003662659,0.00005187018,0.0008050069],"category_scores_gemma":[0.01114752,0.00009923957,0.00005777422,0.0003168417,0.001149727,0.0001883553,0.0001510165,0.0006548226,0.000001255435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367369,"about_ca_system_score_gemma":0.0001196707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005004746,"about_ca_topic_score_gemma":0.0008361439,"domain_scores_codex":[0.9973447,0.0004764191,0.0004160528,0.0002284011,0.001329738,0.0002047176],"domain_scores_gemma":[0.9940368,0.0004572396,0.0004057947,0.0001300719,0.00479564,0.0001744523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002377087,0.00001703158,0.006994308,0.00001326538,0.00006525058,0.0005375411,0.9642902,0.00000981709,0.0002578757,0.001583378,0.01344146,0.01255217],"study_design_scores_gemma":[0.001818742,0.001187474,0.05967511,0.0003533358,0.00009423123,0.00005773069,0.9278963,0.000003722676,0.00001254178,0.00143628,0.007381482,0.00008308319],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7502126,0.08018825,0.0000164135,0.1575315,0.001877771,0.0001786838,0.000005801977,0.0000114126,0.009977669],"genre_scores_gemma":[0.9809177,0.01394383,0.00003212329,0.003458995,0.001432491,0.000002848176,0.000006627693,0.000008097962,0.0001972956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2307052,"threshold_uncertainty_score":0.997182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07848463563911495,"score_gpt":0.3437208224374316,"score_spread":0.2652361867983167,"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."}}