{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033788,0.0005282683,0.0004606757,0.001444143,0.000144279,0.0003896913,0.0002032011,0.0003857794,0.0006871069],"category_scores_gemma":[0.001378458,0.0001053947,0.0002749415,0.0006769951,0.0002304447,0.0002598248,0.0002298047,0.0002731684,0.0002436202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199543,"about_ca_system_score_gemma":0.0000990773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002310275,"about_ca_topic_score_gemma":0.000260418,"domain_scores_codex":[0.9995372,0.0001689295,0.0000713609,0.00007377171,0.0001036849,0.00004503745],"domain_scores_gemma":[0.999006,0.0002115289,0.0004465566,0.00003315726,0.0001840585,0.0001186267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001544083,0.0001321593,0.9479108,0.0002811466,0.0001572695,0.0003261137,0.00005393754,0.0004811129,0.01686401,0.00005699042,0.0003448105,0.03184751],"study_design_scores_gemma":[0.00006443656,0.002221524,0.9766679,0.000103089,0.0001781133,0.004452091,0.0001208151,0.002485594,0.0113952,0.0001566342,0.002133661,0.00002084232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724419,0.02261364,0.002403222,0.0001676646,0.00005321502,0.00009124247,0.0004774262,0.00005269566,0.001699156],"genre_scores_gemma":[0.9960748,0.00115495,0.002079662,0.00004691019,0.00004520085,0.00004661505,0.0002741742,0.000002406783,0.000275258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001444143,"threshold_uncertainty_score":0.005467236,"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."}}