{"id":"W3095895671","doi":"10.2196/24375","title":"Exploring Fever of Unknown Origin Intelligent Diagnosis Based on Clinical Data: Model Development and Validation","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Medical diagnosis; Fever of unknown origin; Artificial intelligence; Computer science; Machine learning; Data mining; Medicine; Natural language processing; Pathology; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005014841,0.0001442352,0.0004336111,0.00005237192,0.00003535856,0.00001421892,0.0001889641,0.0001578584,0.0001179402],"category_scores_gemma":[0.003332587,0.0001030038,0.00004741618,0.0001638499,0.0001222778,0.0001905829,0.0001914595,0.0003388815,0.00004375738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001884993,"about_ca_system_score_gemma":0.0003159903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001132211,"about_ca_topic_score_gemma":6.492912e-7,"domain_scores_codex":[0.9977754,0.00002873079,0.001112768,0.0001527167,0.0007454194,0.0001849929],"domain_scores_gemma":[0.9981879,0.0006957445,0.0001565727,0.0002813116,0.00007547456,0.0006030137],"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":[0.001033202,0.005176158,0.2093804,0.006498488,0.0003272455,0.00015039,0.01504953,0.002709046,0.00000362339,0.01178798,0.06148384,0.6864001],"study_design_scores_gemma":[0.002047307,0.0006432711,0.002434032,0.0007013085,0.00007032519,0.000003537618,0.0007633942,0.9374459,0.000810068,0.00006103548,0.05480049,0.0002193583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9179866,0.00004375974,0.07549789,0.004534523,0.0001021785,0.0005756373,0.0000186444,0.00007400005,0.001166785],"genre_scores_gemma":[0.9504948,0.001042918,0.03693729,0.01105357,0.00008578337,0.0001110385,0.0002532631,0.00001479133,0.000006500121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9347368,"threshold_uncertainty_score":0.4200373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4319334069027995,"score_gpt":0.4209801837918257,"score_spread":0.01095322311097385,"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."}}