{"id":"W4403954854","doi":"10.1097/mej.0000000000001195","title":"Breaking the ceiling: considering gender disparity in emergency care","year":2024,"lang":"en","type":"article","venue":"European Journal of Emergency Medicine","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ceiling (cloud); Glass ceiling; Medical emergency; Medicine; Political science; Engineering; Structural engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001472693,0.0002104304,0.0004077952,0.0002753476,0.00009685585,0.000006925713,0.0002195419,0.00002756501,0.004119374],"category_scores_gemma":[0.0008245988,0.0001104018,0.0002414278,0.000546886,0.00006209031,0.0001156627,0.00007286858,0.0007344253,0.00003837507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006274614,"about_ca_system_score_gemma":0.0001106137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001893543,"about_ca_topic_score_gemma":0.00001167478,"domain_scores_codex":[0.9974828,0.0002282745,0.001318155,0.0002050925,0.0004747228,0.0002909564],"domain_scores_gemma":[0.9989595,0.0000686229,0.0002054372,0.000270063,0.0002228946,0.0002734392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003272108,0.0003493737,0.6770956,0.003047431,0.0009117142,0.01633811,0.07585191,0.0002177902,0.01436505,0.002270028,0.1424283,0.06679746],"study_design_scores_gemma":[0.002161336,0.001346462,0.6523315,0.00398074,0.0006787062,0.001173689,0.01779552,0.0003917854,0.0002120473,0.0005938964,0.3189039,0.0004303693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8130102,0.08917619,0.0007993581,0.01211158,0.0124436,0.0002680651,0.000002857709,0.00005932824,0.07212885],"genre_scores_gemma":[0.9914473,0.005188412,0.0001594831,0.0001225326,0.001971185,7.64469e-7,0.000002774583,0.00004836528,0.00105916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1784371,"threshold_uncertainty_score":0.996791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07399094172830657,"score_gpt":0.3542186110839647,"score_spread":0.2802276693556581,"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."}}