{"id":"W3139009262","doi":"10.2196/24073","title":"A Natural Language Processing–Based Virtual Patient Simulator and Intelligent Tutoring System for the Clinical Diagnostic Process: Simulator Development and Case Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Humanitas Research Hospital; Humanitas University","keywords":"Computer science; Test (biology); Intelligent tutoring system; Artificial intelligence; Process (computing); Human–computer interaction; Multimedia; Simulation; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001948824,0.0006779598,0.0003663782,0.0006704789,0.0004352109,0.0008890662,0.001823901,0.001918037,0.00222553],"category_scores_gemma":[0.007093264,0.0003199512,0.0005720167,0.0003233005,0.0007648876,0.0006507253,0.001181468,0.0008560817,0.0007468801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009313227,"about_ca_system_score_gemma":0.001216762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038836,"about_ca_topic_score_gemma":0.001555446,"domain_scores_codex":[0.9986938,0.0007944292,0.000106622,0.0001164624,0.0001922269,0.00009643974],"domain_scores_gemma":[0.9957091,0.002694969,0.0001937352,0.0003944141,0.0003249391,0.0006828497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002385281,0.01835001,0.1285008,0.002049603,0.0003458216,0.111591,0.01626102,0.1822869,0.06311125,0.008630977,0.01764124,0.4488462],"study_design_scores_gemma":[0.001488838,0.01337428,0.04337785,0.0004031909,0.0002692,0.09403392,0.005441921,0.6481482,0.10978,0.005936028,0.07731874,0.0004278455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9111599,0.0003169831,0.08125071,0.0009329554,0.00007874728,0.001418859,0.0004433032,0.000818624,0.003580006],"genre_scores_gemma":[0.8990368,0.0002940676,0.09678008,0.0002246101,0.00003493986,0.000708612,0.0006223571,0.00008541507,0.002213087],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00222553,"threshold_uncertainty_score":0.01030648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09488610575682277,"score_gpt":0.4605668675156991,"score_spread":0.3656807617588764,"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."}}