{"id":"W3097164221","doi":"10.1182/blood-2020-140416","title":"Deep Vein Thrombosis Diagnosis with D-Dimer Adjusted to Clinical Probability","year":2020,"lang":"en","type":"article","venue":"Blood","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Dalhousie University; Ottawa Hospital; McGill University; Université de Sherbrooke; London Health Sciences Centre; McMaster University","funders":"","keywords":"Medicine; D-dimer; Deep vein; Ultrasound; Thrombosis; Pre- and post-test probability; Radiology; Vein; Emergency department; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001270243,0.0003504747,0.0004916944,0.001343952,0.0003316623,0.0007182529,0.0008182778,0.000276144,0.002937565],"category_scores_gemma":[0.004224806,0.0001256966,0.0003062749,0.001638031,0.0003821394,0.0003484305,0.0003734629,0.0003209895,0.0003964903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344114,"about_ca_system_score_gemma":0.00158988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02800525,"about_ca_topic_score_gemma":0.02490592,"domain_scores_codex":[0.9983256,0.000496184,0.0001944193,0.0003534098,0.0004913367,0.000138898],"domain_scores_gemma":[0.9987648,0.0002492585,0.0004307168,0.00006515456,0.0003679499,0.0001222396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001413441,0.000152157,0.9426945,0.0002367923,0.000187605,0.0001783321,0.00007966845,0.001207529,0.001420922,0.0005458759,0.003850667,0.04803247],"study_design_scores_gemma":[0.0002208193,0.001002492,0.9776537,0.0000699388,0.0001842312,0.001720948,0.0001025859,0.01043541,0.00183999,0.0008125096,0.005915882,0.00004157798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207467,0.008195274,0.02654804,0.001238579,0.0002363894,0.002219247,0.01248629,0.0007080743,0.02762146],"genre_scores_gemma":[0.9849224,0.0006411435,0.01113357,0.000144558,0.00004649374,0.0002514008,0.001634804,0.00001191464,0.001213567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02800525,"threshold_uncertainty_score":0.05568445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07456086426571817,"score_gpt":0.3165270122311704,"score_spread":0.2419661479654522,"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."}}