{"id":"W2073567614","doi":"10.3851/imp2434","title":"Changes in Metabolic, Inflammatory and Coagulation Biomarkers after HIV Seroconversion – the Health in Men (Him) Biomarker Substudy","year":2012,"lang":"en","type":"article","venue":"Antiviral Therapy","topic":"HIV-related health complications and treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Infection and Immunity; National Institute of Allergy and Infectious Diseases; National Institutes of Health; Australian Government","keywords":"Medicine; Seroconversion; Internal medicine; Immunology; Fibrinogen; Population; Vitamin D and neurology; Biomarker; C-reactive protein; Gastroenterology; Inflammation; Human immunodeficiency virus (HIV); Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00350982,0.0009403582,0.00249014,0.001240844,0.001304984,0.001365577,0.0007126592,0.001226455,0.002174699],"category_scores_gemma":[0.002890628,0.0007626608,0.002737553,0.00196598,0.0004140682,0.0007373695,0.001116451,0.001194266,0.0003856875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006110141,"about_ca_system_score_gemma":0.0006710527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006948035,"about_ca_topic_score_gemma":0.0137865,"domain_scores_codex":[0.9982039,0.0009600061,0.0002470118,0.0002270492,0.000172257,0.0001897292],"domain_scores_gemma":[0.9976845,0.0005523407,0.0008541401,0.0003425012,0.0002790001,0.0002875221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06709237,0.001576795,0.8675963,0.004408822,0.02317067,0.0002606607,0.0007391261,0.0003785408,0.001794289,0.0002123426,0.004678828,0.02809134],"study_design_scores_gemma":[0.004697684,0.008525107,0.9640638,0.0004523069,0.01722969,0.0003559717,0.0001886474,0.0002414992,0.0006626449,0.000151333,0.003377282,0.00005407185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406345,0.03706786,0.0007618706,0.0002815262,0.0002344567,0.002997878,0.01519285,0.00008331008,0.00274565],"genre_scores_gemma":[0.9701917,0.006131042,0.001212098,0.0004960459,0.0004004861,0.004249385,0.0147884,0.0000235419,0.002507325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006948035,"threshold_uncertainty_score":0.0185619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02810498582275276,"score_gpt":0.3167124335622282,"score_spread":0.2886074477394754,"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."}}