{"id":"W2951965981","doi":"10.1136/annrheumdis-2019-eular.4474","title":"THU0104 HIGH-PERFORMANCE CHEMICAL ISOTOPE LABELING LIQUID CHROMATOGRAPHY MASS SPECTROMETRY FOR DISCOVERY OF METABOLITE BIOMARKERS OF RHEUMATOID ARTHRITIS","year":2019,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Metabolite; Metabolome; Rheumatoid arthritis; Mass spectrometry; Cohort; Liquid chromatography–mass spectrometry; Chemistry; Metabolomics; Chromatography; Internal medicine; 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":[0.001690751,0.001261101,0.0007877613,0.002470698,0.00144279,0.001490352,0.001207929,0.001669611,0.009414941],"category_scores_gemma":[0.001125788,0.0006847166,0.0009172584,0.001098855,0.0006807347,0.000798016,0.0009404307,0.001424142,0.003086091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043935,"about_ca_system_score_gemma":0.002284458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003041763,"about_ca_topic_score_gemma":0.005787014,"domain_scores_codex":[0.9988399,0.000249591,0.00005446645,0.0002167756,0.0004803772,0.000159037],"domain_scores_gemma":[0.9996508,0.00007227525,0.00005103647,0.0000344114,0.0001210273,0.00007039319],"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":[0.002199119,0.0003288876,0.003166807,0.0003214384,0.0002360986,0.0002482349,0.00004811381,0.0005111366,0.9275367,0.001436773,0.00523344,0.05873313],"study_design_scores_gemma":[0.0004796217,0.001794945,0.007683514,0.00004507753,0.0002207807,0.001268773,0.00003925198,0.02430835,0.9297351,0.0005860955,0.03368457,0.0001540277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6226955,0.03300647,0.2391516,0.003913237,0.00305287,0.002303482,0.02332696,0.01800258,0.05454723],"genre_scores_gemma":[0.657339,0.006365696,0.2592773,0.003285785,0.0004037941,0.001566893,0.0145493,0.001228697,0.05598354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009414941,"threshold_uncertainty_score":0.03149611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382463494383646,"score_gpt":0.2656606680870263,"score_spread":0.2518360331431899,"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."}}