{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002529189,0.0002685451,0.0002697815,0.00135346,0.000803392,0.006132103,0.0005094745,0.001380968,0.005735924],"category_scores_gemma":[0.006858336,0.0002360102,0.0002604498,0.001191646,0.002584013,0.005078967,0.001404505,0.001078311,0.0007533485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00281609,"about_ca_system_score_gemma":0.004292742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005565097,"about_ca_topic_score_gemma":0.004579206,"domain_scores_codex":[0.9980651,0.001248243,0.0001260441,0.0001609022,0.0003052631,0.00009452814],"domain_scores_gemma":[0.9963827,0.002185683,0.0002981138,0.0004107564,0.0005931172,0.0001296233],"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":[0.0002150027,0.0002467086,0.005030229,0.0007294404,0.0000619581,0.0002629458,0.004194045,0.01018212,0.002678015,0.4427478,0.03194464,0.5017071],"study_design_scores_gemma":[0.00006474121,0.0002875729,0.01784555,0.0009222996,0.0001093585,0.0006054187,0.005535664,0.06421072,0.006612572,0.4976486,0.406085,0.00007252657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1246045,0.05482624,0.3293545,0.1100776,0.002988288,0.0003065438,0.0008495229,0.001624728,0.3753682],"genre_scores_gemma":[0.8865051,0.01222106,0.05348464,0.002948428,0.001186634,0.0001182759,0.0004681572,0.00007049523,0.04299713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006132103,"threshold_uncertainty_score":0.02043229,"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."}}