{"id":"W1981982266","doi":"10.1016/j.bbi.2010.04.012","title":"A formal analysis of cytokine networks in Chronic Fatigue Syndrome","year":2010,"lang":"en","type":"article","venue":"Brain Behavior and Immunity","topic":"Fibromyalgia and Chronic Fatigue Syndrome Research","field":"Medicine","cited_by":208,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Institute of Allergy and Infectious Diseases; National Institute on Alcohol Abuse and Alcoholism","keywords":"Lymphotoxin; Immune system; Cytokine; Immunology; Chronic fatigue syndrome; Tumor necrosis factor alpha; Biology; Medicine; Internal medicine","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":[0.001405241,0.0003691213,0.0003741031,0.0006580615,0.0005741187,0.001113558,0.0008220945,0.000537759,0.003019086],"category_scores_gemma":[0.005585333,0.0002906559,0.001008674,0.0005146961,0.001517402,0.002202221,0.0009686545,0.0009428877,0.0001632194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090496,"about_ca_system_score_gemma":0.001002093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005209029,"about_ca_topic_score_gemma":0.004955344,"domain_scores_codex":[0.9993601,0.0002740186,0.00003263286,0.00009600198,0.0001385329,0.00009865798],"domain_scores_gemma":[0.995902,0.003252175,0.0002736087,0.0001798962,0.0002989693,0.00009333371],"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":[0.00004390852,0.00005031703,0.001319355,0.00008451215,0.00004103996,0.0003105767,0.0003873871,0.08461777,0.001524319,0.9004257,0.0008688562,0.01032637],"study_design_scores_gemma":[0.00002507609,0.00001923182,0.0003982615,0.00002204582,0.00003251865,0.00008108653,0.00009121544,0.3329139,0.0004082814,0.6637097,0.002288207,0.00001041314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1021249,0.0006748511,0.8803579,0.001983343,0.00006942929,0.00009096746,0.0004076622,0.0002021383,0.01408883],"genre_scores_gemma":[0.8804125,0.0004973848,0.112879,0.0002407344,0.0001421979,0.0001647473,0.0003043922,0.00005331909,0.005305671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005209029,"threshold_uncertainty_score":0.01035744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547525265621174,"score_gpt":0.3229977675570219,"score_spread":0.2975225149008102,"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."}}