{"id":"W4410715773","doi":"10.3899/jrheum.2025-0390.o035","title":"MULTIMODAL IMAGING APPROACH IN THE SUBCLINICAL DETECTION OF HYDROXYCHLOROQUINE-INDUCED RETINAL TOXICITY IN PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS","year":2025,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Drug-Induced Ocular Toxicity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Hydroxychloroquine; Subclinical infection; Lupus erythematosus; Toxicity; Retinal; Retinopathy; Connective tissue disease; Systemic disease; Dermatology; Immunopathology; Internal medicine; Ophthalmology; Immunology; Autoimmune disease; Coronavirus disease 2019 (COVID-19); Diabetes mellitus; Endocrinology; Antibody; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004290177,0.0003805589,0.0009401046,0.001362243,0.0002740071,0.0009823214,0.0005989627,0.00118869,0.001072467],"category_scores_gemma":[0.006489585,0.0001840908,0.0004686295,0.0007244622,0.000268688,0.0004085107,0.0005057539,0.0007956059,0.0007703608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004078436,"about_ca_system_score_gemma":0.0009248229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119676,"about_ca_topic_score_gemma":0.004255316,"domain_scores_codex":[0.9977119,0.001262866,0.0004722356,0.0001030341,0.0003518462,0.00009823017],"domain_scores_gemma":[0.9962631,0.001594621,0.0006956874,0.00007111012,0.001160588,0.0002149337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002138365,0.00048148,0.4063153,0.005494269,0.0004648779,0.002119848,0.0006541396,0.0006844259,0.005793966,0.0005835971,0.03530743,0.5399624],"study_design_scores_gemma":[0.00128476,0.002960356,0.8635805,0.01792457,0.001569272,0.01353348,0.002153858,0.004468915,0.004720842,0.001495014,0.08617304,0.0001355243],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3920702,0.5262586,0.008905756,0.03140768,0.00112682,0.001524338,0.001924795,0.0002836807,0.03649808],"genre_scores_gemma":[0.86249,0.1084238,0.01671114,0.006464089,0.001498887,0.001057045,0.001339764,0.00003539793,0.00197982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004290177,"threshold_uncertainty_score":0.02268893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057574341557813,"score_gpt":0.2629569859200542,"score_spread":0.252381242504476,"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."}}