{"id":"W4399483621","doi":"10.1136/annrheumdis-2024-eular.308","title":"OP0280 DEEP CELLULAR IMMUNE PROFILING IN PSORIATIC ARTHRITIS CORRELATES WITH IMAGING PHENOTYPES AND RESPONSE TO TARGETED ADVANCED THERAPY","year":2024,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Actua; University Health Network; Women's College Hospital; University of Waterloo; University of Toronto","funders":"","keywords":"Psoriatic arthritis; Profiling (computer programming); Medicine; Phenotype; Immune system; Computational biology; Arthritis; Computer science; Immunology; Biology; Genetics; Gene","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":[0.00031066,0.0003220986,0.0003925485,0.0003639757,0.0001385891,0.0007171657,0.0001867988,0.0004285744,0.002433111],"category_scores_gemma":[0.0006263237,0.000170842,0.0002383307,0.0001997287,0.0002755383,0.000377425,0.0003690876,0.0006524175,0.000728472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001852187,"about_ca_system_score_gemma":0.0001463707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000359183,"about_ca_topic_score_gemma":0.0006157047,"domain_scores_codex":[0.9997714,0.00003957625,0.000009620489,0.00005667556,0.00006485001,0.00005788959],"domain_scores_gemma":[0.9998177,0.00004407572,0.00004730331,0.00002136732,0.00003280106,0.00003682714],"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":[0.005307789,0.0006590548,0.1010993,0.0004658116,0.0004377048,0.0003621402,0.0002144484,0.002677789,0.7362084,0.0006646143,0.004922066,0.1469809],"study_design_scores_gemma":[0.000486055,0.004594814,0.6477329,0.0002732381,0.001192184,0.005000107,0.0008353903,0.02968038,0.2841724,0.005206292,0.02068174,0.0001445078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990903,0.002069196,0.002626628,0.0002377927,0.00004994794,0.00002501971,0.0006218743,0.0001146682,0.003351738],"genre_scores_gemma":[0.9953499,0.0005712992,0.001257516,0.0003571129,0.00004021449,0.00003958616,0.0006139922,0.00002782107,0.00174239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002433111,"threshold_uncertainty_score":0.00813961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498176560601578,"score_gpt":0.2928996646942742,"score_spread":0.2779178990882584,"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."}}