{"id":"W4301283258","doi":"10.1136/annrheumdis-2022-eular.787","title":"OP0269 BIOMARKERS TO PREDICT RISK OF VENOUS THROMBOEMBOLISM IN PATIENTS WITH RHEUMATOID ARTHRITIS RECEIVING TOFACITINIB OR TUMOUR NECROSIS FACTOR INHIBITORS","year":2022,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"Sanofi Genzyme; Horizon Therapeutics; Sanofi; European Commission; Amgen; Pfizer; Celgene; AstraZeneca; Eli Lilly and Company","keywords":"Medicine; Tofacitinib; Etanercept; Internal medicine; Adalimumab; Rheumatoid arthritis; Hazard ratio; Rheumatoid factor; Pulmonary embolism; Gastroenterology; Surgery; Confidence interval","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003980275,0.0002216399,0.0007162921,0.0001657135,0.0002205383,0.00001297573,0.0004714467,0.00007513943,0.0009554586],"category_scores_gemma":[0.001047912,0.0001375216,0.0002178421,0.0005587452,0.0002892021,0.0000773526,0.0003649106,0.0002087211,0.000004065716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002443217,"about_ca_system_score_gemma":0.0001158702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003884396,"about_ca_topic_score_gemma":0.00003987179,"domain_scores_codex":[0.9977318,0.0007386238,0.0006710964,0.0002919986,0.0001894901,0.0003769766],"domain_scores_gemma":[0.9984648,0.0004771472,0.0004701599,0.0004142239,0.0001051315,0.00006859097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003980861,0.004879481,0.7479483,0.0003475925,0.002333716,0.000003943103,0.002342764,0.0002350013,0.001264306,0.00007906002,0.01582488,0.2207601],"study_design_scores_gemma":[0.001775535,0.001242621,0.9856712,0.001031114,0.00007565215,0.000003331851,0.0005877615,0.00001100924,0.008393324,0.0003504556,0.00060709,0.0002509461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940482,0.00139337,0.00000843832,0.0005222212,0.0003257262,0.0005955311,0.003038914,0.00002272351,0.00004489896],"genre_scores_gemma":[0.9989754,0.000536354,0.0001299062,0.0002123558,0.00000323235,0.00005005759,0.00002927296,0.00002150143,0.00004190796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2377229,"threshold_uncertainty_score":0.9999578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197678037723394,"score_gpt":0.262929628155183,"score_spread":0.2431618243828436,"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."}}