{"id":"W3172342231","doi":"10.3389/fmed.2021.683357","title":"A Diagnostic Solution for Lupus Anticoagulant Testing in Patients Taking Direct Oral FXa Inhibitors Using DOAC Filter","year":2021,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Rivaroxaban; Apixaban; Anticoagulant; Lupus anticoagulant; High-performance liquid chromatography; Medicine; Chemistry; Chromatography; Internal medicine; Warfarin; Thrombosis; Atrial fibrillation","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"],"consensus_categories":[],"category_scores_codex":[0.001207255,0.0002582419,0.00105298,0.0006603179,0.00008588858,0.00001658209,0.0001202229,0.0001682868,0.00002727908],"category_scores_gemma":[0.01762536,0.0002181621,0.00007546053,0.001121075,0.0001546154,0.0001184943,0.00009722053,0.0003564378,0.000002456004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008024615,"about_ca_system_score_gemma":0.000261749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000353887,"about_ca_topic_score_gemma":0.0000645028,"domain_scores_codex":[0.9969761,0.0002079889,0.0008141546,0.0005544405,0.0007147972,0.0007325221],"domain_scores_gemma":[0.9980577,0.000828877,0.0002232067,0.0003679804,0.0003473959,0.0001748727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001891801,0.0001928343,0.9772553,0.0008713342,0.00005089304,0.0003282386,0.001182292,0.0000463446,0.002203805,0.000002260521,0.01087203,0.006805476],"study_design_scores_gemma":[0.06227373,0.002278045,0.589441,0.06457628,0.0007681465,0.00358162,0.008341291,0.2594284,0.004585415,0.0005742989,0.002696984,0.001454743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982927,0.002617788,0.007967203,0.0005558787,0.003898803,0.001479303,0.000009449993,0.00004904396,0.0004955285],"genre_scores_gemma":[0.9700985,0.0000628694,0.02853307,0.0002095914,0.0005787546,0.00009033329,0.0001007749,0.00006474474,0.0002613615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3878143,"threshold_uncertainty_score":0.9906496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06426680278230208,"score_gpt":0.3313251485734001,"score_spread":0.2670583457910981,"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."}}