{"id":"W2114048115","doi":"10.1371/journal.pone.0010817","title":"Biomarkers in Chronic Fatigue Syndrome: Evaluation of Natural Killer Cell Function and Dipeptidyl Peptidase IV/CD26","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Fibromyalgia and Chronic Fatigue Syndrome Research","field":"Medicine","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Allergy and Infectious Diseases; National Heart, Lung, and Blood Institute; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Neurological Disorders and Stroke; National Institute on Alcohol Abuse and Alcoholism","keywords":"Dipeptidyl peptidase; Dipeptidyl peptidase-4; Flow cytometry; Biomarker; Immunology; Natural killer cell; Medicine; Internal medicine; Endocrinology; Cytotoxicity; Biology; Enzyme; In vitro; Diabetes mellitus; Biochemistry; Type 2 diabetes","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":[0.0008484094,0.0001730991,0.0003615031,0.0003333604,0.00005056254,0.00001530635,0.00008648112,0.0001767407,0.0008853744],"category_scores_gemma":[0.0001910223,0.0001554485,0.00006011341,0.0003861199,0.0001868004,0.0001510824,0.00005616314,0.0005721463,0.00004120889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002967645,"about_ca_system_score_gemma":0.0005200314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009467054,"about_ca_topic_score_gemma":0.00003878423,"domain_scores_codex":[0.9977183,0.0001101548,0.0003361017,0.0003485612,0.001139506,0.0003473701],"domain_scores_gemma":[0.9990488,0.00009044969,0.0000962943,0.0003816006,0.0002364821,0.00014636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000243259,0.001203673,0.02022616,0.004261478,0.0003925613,0.00002134295,0.0001626579,0.000006110313,0.9714729,0.00004435284,0.0002266307,0.001738867],"study_design_scores_gemma":[0.01546383,0.0027497,0.8487764,0.00392312,0.001118764,0.00009847538,0.0002820167,0.04915262,0.07755622,0.0003495448,0.00002343623,0.0005058419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957892,0.00174003,0.000004808283,0.0003377994,0.0001246175,0.0009648211,0.000003945217,0.00002953226,0.001005235],"genre_scores_gemma":[0.9987177,0.0000804897,0.0004317693,0.000005936047,0.00002986285,0.00007259222,0.00008092893,0.00002851167,0.0005522029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8939167,"threshold_uncertainty_score":0.9694229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04768849970055587,"score_gpt":0.2915166927282855,"score_spread":0.2438281930277296,"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."}}