{"id":"W2966541221","doi":"10.1002/rth2.12245","title":"Ruling out lupus anticoagulants with mixing test–specific cutoff assessment and the index of circulating anticoagulant","year":2019,"lang":"en","type":"article","venue":"Research and Practice in Thrombosis and Haemostasis","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Lupus anticoagulant; Partial thromboplastin time; Internal medicine; Medicine; Antiphospholipid syndrome; Prothrombin time; Coagulation testing; Warfarin; Cutoff; Gastroenterology; Anticoagulant; Factor X; Apixaban; Coagulation; Rivaroxaban; Atrial fibrillation; Thrombosis; Platelet; Thrombin","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":[],"consensus_categories":[],"category_scores_codex":[0.006956186,0.0002108109,0.0008137369,0.0003739822,0.0002676565,0.0002393012,0.0001341336,0.0001236172,0.00003555423],"category_scores_gemma":[0.001666691,0.0001290123,0.00003817412,0.0005369954,0.0007638662,0.0003667548,0.000284807,0.0008450781,0.000005182752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009039522,"about_ca_system_score_gemma":0.0002492839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005169982,"about_ca_topic_score_gemma":0.00005196338,"domain_scores_codex":[0.9962305,0.0007702235,0.0005110914,0.0005448443,0.001315724,0.0006276434],"domain_scores_gemma":[0.9872522,0.01137185,0.0002008038,0.0004929333,0.0004714182,0.0002108145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001185837,0.0002580643,0.9783999,0.001233067,0.0002353516,0.0001030231,0.004947478,0.000003304072,0.006218862,0.0007256982,0.00009069028,0.006598725],"study_design_scores_gemma":[0.0494546,0.004334222,0.7224733,0.01522515,0.0004796192,0.03258892,0.1436165,0.02284615,0.003221564,0.001553587,0.003087814,0.001118636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852365,0.004375279,0.00007562956,0.005018841,0.00005271521,0.001531349,0.000008970197,0.00001357921,0.003687166],"genre_scores_gemma":[0.9818172,0.01662725,0.001282128,0.00006606083,0.00004924618,0.00003254405,0.000004780242,0.00003425919,0.00008655697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2559266,"threshold_uncertainty_score":0.5260968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1504290206857668,"score_gpt":0.4456753428219857,"score_spread":0.2952463221362189,"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."}}