{"id":"W4411755887","doi":"10.54941/ahfe1006207","title":"Stethoscope to Algorithm: Equipping Tomorrow’s Doctors for Artificial Intelligence Driven Healthcare","year":2025,"lang":"en","type":"article","venue":"AHFE international","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stethoscope; Computer science; Health care; Artificial intelligence; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0002878424,0.0001287854,0.0002106119,0.0003955346,0.0001022505,0.00003137853,0.0001681259,0.00005290894,0.0002311077],"category_scores_gemma":[0.0003845968,0.0001260388,0.00007333052,0.0003053849,0.00002601073,0.00009075653,0.00006680799,0.0001398084,0.00004105937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002790568,"about_ca_system_score_gemma":0.0002841906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002650888,"about_ca_topic_score_gemma":0.0001485612,"domain_scores_codex":[0.998477,0.00002339078,0.0005676121,0.000312894,0.0003249036,0.0002941755],"domain_scores_gemma":[0.9989653,0.0001905815,0.00009109956,0.0001643729,0.0004252451,0.000163393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002399798,0.0001038785,0.006001532,0.0001295978,0.0001061339,0.00001077772,0.0007532791,0.00002288739,0.00089556,0.02466938,0.01320462,0.9538624],"study_design_scores_gemma":[0.003763919,0.003934932,0.06950496,0.002236158,0.000311867,0.00008589314,0.008389258,0.04212216,0.05090305,0.03108869,0.7867249,0.0009342414],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08311551,0.00008526952,0.7650689,0.1435363,0.004273152,0.001839781,0.0001351682,0.0001363321,0.001809669],"genre_scores_gemma":[0.8933131,0.00003157929,0.08168963,0.02117233,0.00126916,0.0003416858,0.0004417916,0.00002363626,0.001717093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9529281,"threshold_uncertainty_score":0.5139712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07813473254975084,"score_gpt":0.4603010113626261,"score_spread":0.3821662788128752,"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."}}