{"id":"W4407893195","doi":"10.5116/ijme.679e.0509","title":"Development of a competency framework for postgraduate training in obstetrics and gynaecology using a Delphi study","year":2025,"lang":"en","type":"article","venue":"International Journal of Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obstetrics and gynaecology; Medical education; Delphi method; Obstetrics; Delphi; Medicine; Gynecology; Psychology; Computer science; Pregnancy; Biology; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001642674,0.00007775553,0.0002811775,0.0009906195,0.00003383189,0.00001266823,0.0002250449,0.000136325,0.00007291008],"category_scores_gemma":[0.03506515,0.00007255342,0.0000406648,0.0004888641,0.00007392849,0.00007568124,0.00003980998,0.0003693654,2.282649e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004696072,"about_ca_system_score_gemma":0.008980993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001185325,"about_ca_topic_score_gemma":0.000008605785,"domain_scores_codex":[0.9978353,0.00004698282,0.001053132,0.0001178714,0.0008376729,0.0001090579],"domain_scores_gemma":[0.9973633,0.0007132971,0.0004099993,0.00007764276,0.001371672,0.00006403735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008690679,0.00186056,0.02532335,0.00008670513,0.0001892185,0.00001082276,0.0137166,0.000005804215,0.0000693734,0.01295538,0.0001201585,0.9455751],"study_design_scores_gemma":[0.01397253,0.001086395,0.7533797,0.005042837,0.0004464124,0.0004925892,0.152491,0.01314927,0.0004386296,0.04830419,0.01081137,0.0003850939],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421186,0.0002801453,0.04234631,0.008762222,0.006084392,0.0003210666,5.891893e-7,0.000003252374,0.00008341802],"genre_scores_gemma":[0.8205178,0.00002684076,0.1781269,0.00114168,0.0001469867,0.00001701322,0.00000720995,0.000005695591,0.000009862423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.94519,"threshold_uncertainty_score":0.9966372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05594756636372288,"score_gpt":0.4493119457405547,"score_spread":0.3933643793768318,"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."}}