{"id":"W3165171227","doi":"10.1007/s10067-021-05779-4","title":"Risk of COVID-19 infection in patients with rheumatic disease taking disease-modifying anti-rheumatic drugs","year":2021,"lang":"en","type":"article","venue":"Clinical Rheumatology","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"STMicroelectronics (Canada); Wilfrid Laurier University","funders":"","keywords":"Medicine; Internal medicine; Rheumatology; Disease; Rheumatic disease; Hydroxychloroquine; Logistic regression; Coronavirus disease 2019 (COVID-19); Outbreak; Immunology; Infectious disease (medical specialty); Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001191503,0.0003079088,0.001385021,0.0003235788,0.0001805401,0.00003581858,0.000164087,0.0001717928,0.0004426325],"category_scores_gemma":[0.0235483,0.0002566578,0.0003135916,0.0005939536,0.0007104425,0.0001950595,0.0001568264,0.0006871508,0.00006260603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116099,"about_ca_system_score_gemma":0.001550872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004531384,"about_ca_topic_score_gemma":0.0001660586,"domain_scores_codex":[0.9952176,0.0011661,0.001667685,0.0006896179,0.0006343445,0.0006247021],"domain_scores_gemma":[0.9943722,0.002363334,0.0007898858,0.0008055932,0.0003540087,0.001314992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001875788,0.001701203,0.9835975,0.001263086,0.0002886773,0.0001375943,0.0003700297,0.00009829437,0.000001326272,0.0007448901,0.0001125529,0.009809125],"study_design_scores_gemma":[0.01268152,0.0003574298,0.980409,0.002291783,0.0000539608,0.00002718035,0.0001424581,0.001382098,0.000005668061,0.002145637,0.0002514958,0.0002517447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939517,0.002851028,0.001050618,0.0009325066,0.0002773279,0.0007171294,0.00004343216,0.00009436603,0.00008186739],"genre_scores_gemma":[0.9718893,0.02717212,0.0004020881,0.0002358419,0.000009497202,0.00006603207,0.0001569809,0.00004837268,0.00001981471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02432109,"threshold_uncertainty_score":0.9999886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03213186118129709,"score_gpt":0.3632576375930551,"score_spread":0.331125776411758,"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."}}