{"id":"W4283692455","doi":"10.1136/annrheumdis-2022-eular.2091","title":"POS1045 MASS SPECTROMETRY-BASED PROTEOMICS FOR THE IDENTIFICATION OF CANDIDATE SERUM PROTEIN BIOMARKERS THAT MAY PREDICT TREATMENT RESPONSE IN PATIENTS WITH PSORIATIC ARTHRITIS","year":2022,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Pfizer (Canada); Toronto Western Hospital","funders":"Celgene; Gilead Sciences; Amgen; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; Sun Pharma; GlaxoSmithKline","keywords":"Psoriatic arthritis; Medicine; Tofacitinib; Psoriasis; Internal medicine; Biomarker; Arthritis; Adalimumab; Proteomics; Pharmacology; Oncology; Disease; Immunology; Rheumatoid arthritis","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":[0.0009318592,0.000557168,0.0006157946,0.001706783,0.0005259492,0.0008999518,0.0003414754,0.0008928618,0.003027566],"category_scores_gemma":[0.001063641,0.0002373669,0.0004883575,0.0008565554,0.0002079428,0.000314438,0.0004023003,0.0005901654,0.00104369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003402625,"about_ca_system_score_gemma":0.0003604257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007193362,"about_ca_topic_score_gemma":0.001524892,"domain_scores_codex":[0.9994602,0.0001701228,0.00005651814,0.00007946003,0.0001843583,0.00004942668],"domain_scores_gemma":[0.9997068,0.00007306438,0.0000760098,0.00001870172,0.00007420819,0.00005109075],"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":[0.009131971,0.001398793,0.2180666,0.0009187274,0.001001039,0.001532396,0.0001964502,0.001360687,0.5839846,0.0007202829,0.006187385,0.1755012],"study_design_scores_gemma":[0.0008547011,0.007079724,0.7153572,0.0003379802,0.001361166,0.00945846,0.0004402497,0.0305844,0.2146846,0.001385449,0.01828883,0.0001671712],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656621,0.01565501,0.006538732,0.001092018,0.0004278575,0.0002200937,0.001838117,0.0003992563,0.00816682],"genre_scores_gemma":[0.9852122,0.001294621,0.009405389,0.0009301187,0.0001206439,0.00007435679,0.0009881596,0.00002196629,0.001952506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003027566,"threshold_uncertainty_score":0.0101282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768792877079223,"score_gpt":0.2705684705771348,"score_spread":0.2528805418063426,"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."}}