{"id":"W4230732012","doi":"10.1111/jth.13512","title":"Questioning the use of an age‐adjusted D‐dimer threshold to exclude venous thromboembolism: analysis of individual patient data from two diagnostic studies: reply","year":2016,"lang":"en","type":"letter","venue":"Journal of Thrombosis and Haemostasis","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute; Juravinski Hospital; Ontario Clinical Oncology Group; McMaster University; University of Alberta","funders":"","keywords":"D-dimer; Medicine; Venous thromboembolism; Pulmonary embolism; Age adjustment; Dimer; Internal medicine; Epidemiology; Thrombosis; Nuclear magnetic resonance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007020243,0.000584314,0.001605933,0.000990222,0.00152439,0.002285571,0.001957885,0.03148561,0.002175846],"category_scores_gemma":[0.05635665,0.000847611,0.001037036,0.00110359,0.001988366,0.002502926,0.001168906,0.01960434,0.002397115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173168,"about_ca_system_score_gemma":0.002136951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003863896,"about_ca_topic_score_gemma":0.004646938,"domain_scores_codex":[0.9934262,0.002505624,0.001850684,0.000787552,0.0009154017,0.0005146174],"domain_scores_gemma":[0.965406,0.02375381,0.002797693,0.00115356,0.004881731,0.002007154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003826628,0.0001314846,0.02581357,0.0002151268,0.0002193334,0.008901217,0.001161661,0.0002291505,0.001128825,0.001864862,0.9397756,0.0201764],"study_design_scores_gemma":[0.0007234557,0.0007787816,0.05323331,0.001336625,0.0006084278,0.03317677,0.006553669,0.003926787,0.002990952,0.01523259,0.8807908,0.0006479148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004059258,0.0007839513,0.0002497933,0.9822443,0.01158274,0.00001865628,0.0002136133,0.00003047171,0.00081723],"genre_scores_gemma":[0.02504636,0.0008045841,0.0007681397,0.9408575,0.03076837,0.00005453767,0.0001122672,0.0000369159,0.001551339],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03148561,"threshold_uncertainty_score":0.03712708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2943766603195435,"score_gpt":0.3959478633434825,"score_spread":0.1015712030239391,"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."}}