{"id":"W4283762713","doi":"10.1002/jmd2.12312","title":"Training competencies in adult metabolic medicine: A survey of working adult metabolic medicine physicians","year":2022,"lang":"en","type":"article","venue":"JIMD Reports","topic":"Adolescent and Pediatric Healthcare","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subspecialty; Accreditation; Medical education; Medicine; Delphi method; Family medicine; Pediatric Medicine; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005357116,0.0003416379,0.001590479,0.0005793142,0.0007969864,0.000002587105,0.0002908798,0.0001783962,0.0007561469],"category_scores_gemma":[0.003229606,0.0002840592,0.0001143947,0.002281683,0.0002130864,0.0000934027,0.0002355089,0.001713292,0.000006514274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244812,"about_ca_system_score_gemma":0.00103671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05080571,"about_ca_topic_score_gemma":0.01777865,"domain_scores_codex":[0.9921232,0.002456455,0.002598364,0.0006209408,0.001230425,0.0009706192],"domain_scores_gemma":[0.9952748,0.001152708,0.001902858,0.0006930343,0.0007475166,0.0002291218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007373216,0.00008431832,0.9349648,0.0002800076,0.00004563997,0.0002549614,0.04427167,0.00003158345,0.0001069999,0.001306321,0.006145061,0.01243494],"study_design_scores_gemma":[0.001351332,0.000124501,0.9017787,0.0008102437,0.0001172866,0.0000440335,0.05234382,0.0001430784,0.000005568731,0.0003942728,0.04258026,0.0003068777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691401,0.009192832,0.00008143207,0.007265735,0.004790685,0.001589847,0.00005637568,0.0001756252,0.007707418],"genre_scores_gemma":[0.9922191,0.001066359,0.0001456044,0.003857897,0.001504397,0.0002200835,0.0002273412,0.00006272817,0.0006965161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0364352,"threshold_uncertainty_score":0.9999611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1779972364156498,"score_gpt":0.4152373517483165,"score_spread":0.2372401153326667,"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."}}