{"id":"W4388861127","doi":"10.3390/diagnostics13233495","title":"An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive Metabolites","year":2023,"lang":"en","type":"article","venue":"Diagnostics","topic":"Fibromyalgia and Chronic Fatigue Syndrome Research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Princess Nourah Bint Abdulrahman University","keywords":"Chronic fatigue syndrome; Random forest; Machine learning; Artificial intelligence; Medicine; Discriminative model; Encephalomyelitis; Computer science; Immunology; Psychiatry; Multiple sclerosis","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":[0.001414186,0.0009707004,0.000757882,0.0009155309,0.0005062751,0.0009951669,0.0008965484,0.001295954,0.001797071],"category_scores_gemma":[0.003713972,0.0002882863,0.0008928333,0.0004843783,0.0005445708,0.0005235351,0.0005213018,0.0009799462,0.0002004105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000956498,"about_ca_system_score_gemma":0.0009511423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410855,"about_ca_topic_score_gemma":0.00633076,"domain_scores_codex":[0.9995111,0.0001903303,0.00002812601,0.0001368945,0.00005478388,0.00007870595],"domain_scores_gemma":[0.9982297,0.001284579,0.000169444,0.00004315852,0.0002260088,0.00004722088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001708672,0.0001185774,0.008186158,0.00005787602,0.0001271539,0.0001935169,0.00008159913,0.9702854,0.0007311274,0.003074929,0.0006855084,0.0162873],"study_design_scores_gemma":[0.000008520378,0.00002462659,0.0007229414,0.00000471701,0.00001217574,0.00001120236,0.000004213973,0.9979366,0.0000611875,0.001137126,0.0000727752,0.000003969288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.552438,0.001328191,0.4351521,0.002864059,0.0002013916,0.0002566015,0.001487938,0.0007903717,0.005481383],"genre_scores_gemma":[0.9771491,0.0002042472,0.02008532,0.0001674696,0.00004889214,0.0002116735,0.0006121636,0.00001338725,0.001507819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01410855,"threshold_uncertainty_score":0.02805281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05459872968579708,"score_gpt":0.3303658404265215,"score_spread":0.2757671107407244,"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."}}