{"id":"W3046452857","doi":"10.1136/annrheumdis-2020-eular.5912","title":"OP0304 METABOLOMICS PROFILING OF HUMAN SERUM FOR DISCOVERING BIOMARKERS TO DIAGNOSE PSORIATIC ARTHRITIS AND ANKYLOSING SPONDYLITIS WITH HIGH SPECIFICITY","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; Biomarker; Metabolome; Metabolomics; Biomarker discovery; Metabolite; Internal medicine; Dansyl chloride; Ankylosing spondylitis; Psoriatic arthritis; Gastroenterology; Oncology; Disease; Bioinformatics; Chromatography; Mass spectrometry; Proteomics; Derivatization","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":[0.0004796282,0.0006620154,0.0003777364,0.001046591,0.0003249953,0.000637559,0.0002480283,0.0007752429,0.001573207],"category_scores_gemma":[0.0006154727,0.0002132982,0.0004598548,0.0007045611,0.0002080911,0.0001743469,0.0003632066,0.000535777,0.000681922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000190973,"about_ca_system_score_gemma":0.0005035371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279777,"about_ca_topic_score_gemma":0.002243293,"domain_scores_codex":[0.9996029,0.00008630206,0.00002802232,0.00008528458,0.0001415415,0.00005596557],"domain_scores_gemma":[0.9998342,0.00003991655,0.00002967674,0.00001256579,0.00005785012,0.00002581442],"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":[0.00150043,0.0002800582,0.03344383,0.0002409647,0.0002198204,0.0005006948,0.00007695968,0.0002787549,0.9260529,0.0002247671,0.001272797,0.03590811],"study_design_scores_gemma":[0.0001410498,0.001649175,0.1305703,0.00006241915,0.0003705061,0.003909711,0.0001613151,0.007686067,0.8450742,0.0006132611,0.009703095,0.00005883101],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534577,0.009351609,0.02244963,0.001152212,0.0002932101,0.000241102,0.004630397,0.0006044717,0.00781967],"genre_scores_gemma":[0.9727135,0.001815734,0.01645534,0.001041453,0.00008449613,0.000146445,0.002981861,0.0000527567,0.004708379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001573207,"threshold_uncertainty_score":0.005262911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02677134953399003,"score_gpt":0.2746549012250184,"score_spread":0.2478835516910284,"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."}}