{"id":"W2965197626","doi":"10.1007/s11306-019-1571-9","title":"Beyond the antibodies: serum metabolomic profiling of myasthenia gravis","year":2019,"lang":"en","type":"article","venue":"Metabolomics","topic":"Myasthenia Gravis and Thymoma","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Myasthenia gravis; Medicine; Internal medicine; Metabolomics; Rheumatoid arthritis; Biomarker; Univariate analysis; Rheumatology; Disease; Metabolite; Neuromuscular disease; Multivariate analysis; Gastroenterology; Immunology; Bioinformatics; Biology","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":[0.0002487969,0.0003843437,0.0004955092,0.0005808696,0.0001727583,0.0009137065,0.0001283411,0.0004385879,0.0006438703],"category_scores_gemma":[0.0003989164,0.0001016476,0.0002684432,0.0006728637,0.0001564913,0.000250681,0.0003195486,0.0004872739,0.0001802106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002412777,"about_ca_system_score_gemma":0.0002267935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004456,"about_ca_topic_score_gemma":0.001713375,"domain_scores_codex":[0.9998246,0.00004599549,0.00001074594,0.00004615993,0.00004111254,0.00003148284],"domain_scores_gemma":[0.999879,0.00003041865,0.00002624188,0.000007502453,0.00002434277,0.00003250077],"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":[0.004413386,0.0002255367,0.2094732,0.0007445785,0.0008419605,0.001151752,0.0002760512,0.0009108414,0.6339239,0.0005411141,0.004239445,0.1432582],"study_design_scores_gemma":[0.0001379937,0.001886067,0.8334107,0.0002704807,0.0009435195,0.00503607,0.0007546342,0.006819406,0.1198347,0.003286841,0.02751619,0.0001034692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566915,0.03189041,0.004023506,0.001906763,0.0002782592,0.0000465903,0.002447108,0.0001508956,0.002564861],"genre_scores_gemma":[0.984385,0.007256914,0.003886212,0.001454478,0.0002266218,0.00003416179,0.00117476,0.00002273389,0.00155921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001004456,"threshold_uncertainty_score":0.002153993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089407402020008,"score_gpt":0.252828744241917,"score_spread":0.2419346702217169,"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."}}