{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007351645,0.0002826338,0.0008575409,0.0001359749,0.00008685885,0.00002475645,0.0003224549,0.000134314,0.0004146061],"category_scores_gemma":[0.00007625889,0.0001738194,0.0003377545,0.0003253342,0.000166655,0.00009474723,0.0001244168,0.0003468815,0.0002870669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002081401,"about_ca_system_score_gemma":0.0001263127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002880427,"about_ca_topic_score_gemma":0.000003012035,"domain_scores_codex":[0.9981316,0.00009685793,0.0005797395,0.0003807457,0.000386849,0.0004242116],"domain_scores_gemma":[0.9984108,0.0001097538,0.0002705594,0.0009229847,0.0001790303,0.0001068287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009732828,0.00042096,0.3780132,0.0004586325,0.001031288,0.00002139901,0.001736243,0.00004970399,0.463083,0.1362805,0.0009232634,0.01700855],"study_design_scores_gemma":[0.007025956,0.0007540561,0.381741,0.0001574876,0.001897446,0.0003243561,0.002458136,0.002645309,0.5013607,0.01087031,0.08984809,0.0009171576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895866,0.003399581,0.00009716354,0.0008252432,0.000650892,0.000861904,0.00007459552,0.00005556883,0.00444847],"genre_scores_gemma":[0.9908352,0.0004121621,0.005972827,0.0007146376,0.0001742317,0.00001523795,0.00003440276,0.00005734864,0.001783879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1254102,"threshold_uncertainty_score":0.7088151,"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."}}