{"id":"W4415719597","doi":"10.3390/diagnostics15212755","title":"Leveraging Explainable Automated Machine Learning (AutoML) and Metabolomics for Robust Diagnosis and Pathophysiological Insights in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)","year":2025,"lang":"en","type":"article","venue":"Diagnostics","topic":"Fibromyalgia and Chronic Fatigue Syndrome Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Princess Nourah Bint Abdulrahman University","keywords":"Metabolomics; Feature selection; Disease; Univariate; Interpretability; Precision medicine; Feature (linguistics); Computational model","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003679688,0.0003677212,0.0008111537,0.0004389283,0.000296117,0.00008804985,0.0001506481,0.0002924822,0.00004337895],"category_scores_gemma":[0.002125004,0.0003265974,0.00009285941,0.0005931453,0.0002720019,0.0001542104,0.0002428911,0.0006475487,0.000004999924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003093598,"about_ca_system_score_gemma":0.0003400474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001732781,"about_ca_topic_score_gemma":0.00001113597,"domain_scores_codex":[0.9975822,0.0001838772,0.0005203775,0.0007049139,0.0002639019,0.0007447252],"domain_scores_gemma":[0.9970223,0.002241266,0.00009480467,0.0002905579,0.0001330428,0.0002180478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008018453,0.002343007,0.860474,0.03873684,0.001275608,0.006143912,0.005034498,0.01504463,0.0118085,0.0125207,0.003999286,0.04181717],"study_design_scores_gemma":[0.007604123,0.002152752,0.5594667,0.004740351,0.000316397,0.0002981499,0.0009033306,0.4192549,0.001128491,0.001869615,0.00153816,0.0007271371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965229,0.03138816,0.001005157,0.0006262964,0.0001323558,0.001257573,0.00002888133,0.0002544485,0.00007810697],"genre_scores_gemma":[0.9745778,0.02166482,0.002647648,0.00005140598,0.00002541093,0.00055979,0.0002103416,0.00004174287,0.0002210198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4042102,"threshold_uncertainty_score":0.9999186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02992420798899891,"score_gpt":0.2958085978829846,"score_spread":0.2658843898939857,"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."}}