{"id":"W2883117951","doi":"10.1038/s41598-018-29519-y","title":"Low-tube-voltage combined with adaptive statistical iterative reconstruction-V technique in CT venography of lower limb deep vein thrombosis","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Medicine; Venography; Deep vein; Thrombosis; Nuclear medicine; Ultrasound; Venous thrombosis; Radiology; Lower limb; Popliteal vein; Vein; Surgery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001427004,0.0002148467,0.0002226739,0.000503209,0.0001094335,0.0003090397,0.0003464123,0.0002959097,0.0005811927],"category_scores_gemma":[0.001772846,0.0002022414,0.0002406582,0.0002854121,0.0002233946,0.000268647,0.0002241969,0.0002893216,0.0001304242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106781,"about_ca_system_score_gemma":0.0002748737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004506802,"about_ca_topic_score_gemma":0.0008055304,"domain_scores_codex":[0.9992623,0.0005031263,0.00003753614,0.00005058709,0.0001159146,0.00003053745],"domain_scores_gemma":[0.999476,0.0002467838,0.00006683499,0.00005923274,0.0001111961,0.00003999732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007800637,0.001375087,0.1483926,0.0008204067,0.0004283449,0.001113982,0.0004695099,0.01422878,0.2578974,0.0009289207,0.0006609855,0.5658834],"study_design_scores_gemma":[0.001345182,0.02681172,0.3686013,0.0001867594,0.00189409,0.02358314,0.000525267,0.3379556,0.2294442,0.002334374,0.00704205,0.0002764431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428191,0.00207749,0.05391309,0.00007612074,0.0000221858,0.00006910571,0.00001223747,0.00009002018,0.0009208271],"genre_scores_gemma":[0.9617932,0.0005334773,0.03724043,0.00002680343,0.00002617027,0.00002305052,0.0000218602,0.00001443257,0.0003205931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001427004,"threshold_uncertainty_score":0.007546842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117133866437291,"score_gpt":0.259998712107569,"score_spread":0.2482853254638399,"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."}}