{"id":"W1994956259","doi":"10.1001/jama.2014.7607","title":"Age-Adjusted D-Dimer Cutoff Levels and Pulmonary Embolism—Reply","year":2014,"lang":"en","type":"letter","venue":"JAMA","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Medicine; D-dimer; Cutoff; Pulmonary embolism; Age adjustment; Internal medicine; Cardiology; Epidemiology","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":[0.002971003,0.0009090664,0.002090634,0.001118485,0.002263219,0.002411886,0.001702475,0.03169487,0.007248768],"category_scores_gemma":[0.02594468,0.0008693616,0.001390457,0.001209566,0.001560932,0.002197884,0.001312651,0.02411687,0.004459478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003241948,"about_ca_system_score_gemma":0.003550152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009269878,"about_ca_topic_score_gemma":0.01342004,"domain_scores_codex":[0.9980947,0.0006567615,0.0003472329,0.0002495364,0.0003693621,0.0002824464],"domain_scores_gemma":[0.9912831,0.005062775,0.0007852365,0.0003254721,0.001382901,0.00116056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001613111,0.00005153432,0.005275794,0.00004955445,0.00005217119,0.0008343021,0.00006466016,0.0000820509,0.00009049957,0.0005296703,0.9878464,0.00496208],"study_design_scores_gemma":[0.001151019,0.0003451942,0.05371574,0.001103413,0.0005226403,0.005583643,0.00172326,0.002452069,0.0009090051,0.01448128,0.9176426,0.0003701317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009643795,0.0006162095,0.000078932,0.9750149,0.02145496,0.00001377294,0.0003561011,0.00002519385,0.001475517],"genre_scores_gemma":[0.008915698,0.0007974184,0.0001988167,0.9050092,0.08003307,0.00008478535,0.0002190428,0.00002303956,0.004718892],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03169487,"threshold_uncertainty_score":0.02424949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03642420539039547,"score_gpt":0.269620008164256,"score_spread":0.2331958027738605,"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."}}