{"id":"W3130497307","doi":"10.26140/bgz3-2020-0903-0021","title":"INFORMATIZATION OF MEDICAL EDUCATION: ARTIFICIAL INTELLIGENCE SYSTEMS IN THE EDUCATION OF STUDENTS AND DOCTORS","year":2020,"lang":"en","type":"article","venue":"BALTIC HUMANITARIAN JOURNAL","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Informatization; Medical education; Artificial intelligence; Engineering management; Engineering; Engineering ethics; Psychology; Computer science; Medicine; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0005353451,0.0000492305,0.0000911978,0.0001480059,0.00004117567,0.00008908064,0.0007502573,0.00004519341,0.00001713079],"category_scores_gemma":[0.0003431872,0.00003885193,0.00001399001,0.0003034393,0.0000393905,0.0001953513,0.00004920787,0.0001817267,0.000002478272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002003257,"about_ca_system_score_gemma":0.0005936158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002305286,"about_ca_topic_score_gemma":0.00000550657,"domain_scores_codex":[0.9990184,0.00005675353,0.0004193963,0.00006480983,0.0003722651,0.00006837409],"domain_scores_gemma":[0.9995146,0.00004102892,0.0001625888,0.0001184902,0.00009802104,0.00006524169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001648527,0.0001928586,0.002566782,0.00007134996,0.000006827557,7.223594e-7,0.01940021,0.0001236766,0.00001502374,0.9442801,0.0003243562,0.03301645],"study_design_scores_gemma":[0.001348727,0.002089148,0.3227568,0.003048641,0.0001249936,0.002517571,0.1995585,0.3194443,0.001168881,0.1251137,0.02144847,0.001380162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6713133,0.000852017,0.3116478,0.01311131,0.002143324,0.0003274049,5.797089e-7,0.00003115437,0.0005730698],"genre_scores_gemma":[0.9982989,0.00003699157,0.001297418,0.0002519382,0.0001034472,0.000005345568,8.92488e-7,0.000002022081,0.000002993028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8191664,"threshold_uncertainty_score":0.1584336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215750132966601,"score_gpt":0.3128877614684614,"score_spread":0.2807302601387954,"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."}}