{"id":"W2992423596","doi":"10.1002/aet2.10428","title":"Geriatric Emergency Medicine Fellowships: Current State of Specialized Training for Emergency Physicians in Optimizing Care for Older Adults","year":2019,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; University of Toronto","funders":"National Institute on Aging","keywords":"Curriculum; Workforce; Medical education; Geriatrics; Core competency; Medicine; Health care; Political science; Psychology; Pedagogy; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008533669,0.0002840049,0.0002970992,0.001161501,0.001381357,0.002378474,0.001611405,0.001368007,0.006239231],"category_scores_gemma":[0.0201478,0.0002291311,0.0003482842,0.001892135,0.001631143,0.002645541,0.00420621,0.001490765,0.001161521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004125445,"about_ca_system_score_gemma":0.02146668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03256025,"about_ca_topic_score_gemma":0.08986749,"domain_scores_codex":[0.9968149,0.0007951367,0.000309116,0.0004029211,0.0008834621,0.0007945076],"domain_scores_gemma":[0.9634164,0.003522007,0.004038481,0.001117255,0.01091293,0.016993],"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":[0.0002081642,0.0002452034,0.09333189,0.002648663,0.00004297202,0.0002573734,0.00279244,0.0006601896,0.001374406,0.005338535,0.05947204,0.8336281],"study_design_scores_gemma":[0.00007343002,0.0008480692,0.4887997,0.007318299,0.0000748463,0.002628755,0.01462486,0.001416768,0.0008558014,0.002994433,0.4802621,0.0001030579],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4334754,0.2692029,0.009009393,0.2136527,0.006039264,0.0003236456,0.001558393,0.0007685278,0.06596965],"genre_scores_gemma":[0.8075099,0.1482392,0.0117397,0.01703695,0.002438925,0.0001902598,0.001770847,0.0001636898,0.0109105],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03256025,"threshold_uncertainty_score":0.06474149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04449380983416452,"score_gpt":0.3616984704203277,"score_spread":0.3172046605861632,"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."}}