{"id":"W2112513807","doi":"10.1378/chest.12-2712","title":"Improving Clinical Interpretation of the Anti-Platelet Factor 4/Heparin Enzyme-Linked Immunosorbent Assay for the Diagnosis of Heparin-Induced Thrombocytopenia Through the Use of Receiver Operating Characteristic Analysis, Stratum-Specific Likelihood Ratios, and Bayes Theorem","year":2013,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Heparin-Induced Thrombocytopenia and Thrombosis","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton General Hospital; McMaster University; Hamilton Regional Laboratory Medicine Program","funders":"Sanofi","keywords":"Medicine; Receiver operating characteristic; Heparin-induced thrombocytopenia; Platelet factor 4; Heparin; Internal medicine; Cutoff; Bayes' theorem; Area under the curve; Platelet activation; Gastroenterology; Platelet; Statistics; Bayesian probability","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":[0.001607923,0.0003899935,0.001480826,0.0001205546,0.000492824,0.0002809653,0.0006109397,0.0002644061,0.0001777492],"category_scores_gemma":[0.001674112,0.0001965723,0.000725809,0.0005369291,0.0005013681,0.0006798687,0.0002298101,0.0009905346,0.000002546892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008834901,"about_ca_system_score_gemma":0.0003141902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004918799,"about_ca_topic_score_gemma":0.0001203076,"domain_scores_codex":[0.9958254,0.0007387479,0.002077932,0.0004240778,0.000506055,0.0004278609],"domain_scores_gemma":[0.9931782,0.003179792,0.001790952,0.000877001,0.0008383225,0.0001357552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004430911,0.0009357759,0.3415204,0.0003833277,0.006457804,0.000005078075,0.008344878,0.0001031922,0.5644808,0.0008780454,0.0003629122,0.07608467],"study_design_scores_gemma":[0.00167748,0.0005196137,0.8845037,0.0004210586,0.001732358,0.00004637942,0.001167684,0.007408354,0.1018648,0.0001548603,0.0002695289,0.0002341432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913894,0.0003632627,0.004659093,0.001136644,0.0005437084,0.001784132,0.00005878956,0.00001369205,0.00005126199],"genre_scores_gemma":[0.9959577,0.00175816,0.001702184,0.0001727077,0.0002351742,0.00008626922,0.00002205258,0.00004610783,0.00001962837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5429832,"threshold_uncertainty_score":0.8015985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08571414482813575,"score_gpt":0.3254780706484791,"score_spread":0.2397639258203434,"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."}}