{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001017856,0.0001280385,0.0003066011,0.000114168,0.0001943116,0.00002743204,0.0002017968,0.00007751991,0.00001551781],"category_scores_gemma":[0.002119348,0.00007766664,0.00008832538,0.0004717831,0.0008023988,0.0001129269,0.00005332134,0.0001514031,0.000003635097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005877099,"about_ca_system_score_gemma":0.000290857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006219201,"about_ca_topic_score_gemma":0.000002810945,"domain_scores_codex":[0.9983914,0.00009665161,0.0005763702,0.0002527756,0.0004113581,0.000271382],"domain_scores_gemma":[0.996828,0.002085245,0.000198886,0.0004422675,0.0003809879,0.00006456814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002843863,0.001748967,0.007618134,0.02884277,0.001664103,0.00006922599,0.02384206,0.07930572,0.1428145,0.6445076,0.0009641834,0.06577887],"study_design_scores_gemma":[0.0006995501,0.0007754423,0.02351057,0.0004188547,0.0003481805,0.0000273474,0.00257656,0.9106535,0.03558599,0.02530373,0.000009701474,0.00009059877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8322474,0.003264045,0.1587548,0.001164759,0.000208248,0.00368872,0.0005646191,0.00007642029,0.00003100439],"genre_scores_gemma":[0.9971303,0.001932559,0.0003066875,0.000002152025,0.00003432726,0.0003180871,0.0001722046,0.00002016065,0.00008355457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8313478,"threshold_uncertainty_score":0.3167154,"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."}}