{"id":"W3096215873","doi":"10.1136/annrheumdis-2020-eular.5189","title":"THU0105 ISOTOPE-LABELING-LC-MS-BASED METABOLIC PROFILING OF MULTIPLE SERUM SAMPLE SETS FOR THE DISCOVERY OF HIGH-CONFIDENCE RHEUMATOID ARTHRITIS BIOMARKERS","year":2020,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Cohort; Biomarker; Rheumatoid arthritis; Metabolite; Confidence interval; Biomarker discovery; Internal medicine; Immunology; Proteomics; Chemistry; Biochemistry","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":[0.001614554,0.0009402851,0.0006503189,0.001668481,0.0009463753,0.00105234,0.0006857887,0.001261288,0.002695624],"category_scores_gemma":[0.001284217,0.0004866098,0.0005617255,0.0009741593,0.0006126655,0.0004521031,0.0006707151,0.0009492045,0.0007804225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000768088,"about_ca_system_score_gemma":0.001102954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002610244,"about_ca_topic_score_gemma":0.006654899,"domain_scores_codex":[0.9987966,0.0002956901,0.00005893916,0.0003027322,0.0004296165,0.0001164754],"domain_scores_gemma":[0.9995827,0.0001085028,0.00006812297,0.00005942528,0.0001152526,0.00006602125],"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":[0.0009208908,0.0001167174,0.003291341,0.0001380734,0.0001217441,0.00009222285,0.00005288494,0.0003282409,0.9756444,0.0004937942,0.0008446747,0.017955],"study_design_scores_gemma":[0.0001243318,0.0007845612,0.01236609,0.00002764808,0.0001590811,0.0009886681,0.00004648712,0.02123708,0.955861,0.0005624113,0.007760599,0.0000819796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7733079,0.009445354,0.1965021,0.000936773,0.0005594547,0.0006168188,0.007640303,0.00288682,0.00810437],"genre_scores_gemma":[0.7763576,0.001725479,0.2084112,0.001287124,0.0001024782,0.0005340353,0.00517208,0.0003119009,0.006098188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002695624,"threshold_uncertainty_score":0.009017766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03228706845834396,"score_gpt":0.2802566288674168,"score_spread":0.2479695604090728,"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."}}