{"id":"W4321506965","doi":"10.1016/j.jvsv.2022.12.025","title":"Remote Expert Deep Venous Thrombosis Triaging of Novice-User Compression Sonography with Artificial Intelligence Guidance","year":2023,"lang":"en","type":"article","venue":"Journal of Vascular Surgery Venous and Lymphatic Disorders","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Medicine; Triage; Radiology; Venous thrombosis; Image quality; Deep vein; Thrombosis; Artificial intelligence; Surgery; Computer science; Emergency medicine","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":[0.0004177853,0.00037043,0.0003567888,0.000735103,0.0002719219,0.0004904166,0.0004140713,0.0007262726,0.006063336],"category_scores_gemma":[0.002120574,0.0001746784,0.0002691264,0.0001856473,0.0002393493,0.0005734914,0.0006801815,0.0004127226,0.0008400801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001390769,"about_ca_system_score_gemma":0.0002844352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009590956,"about_ca_topic_score_gemma":0.00159282,"domain_scores_codex":[0.9997371,0.00007342816,0.00002957021,0.00007304834,0.0000466296,0.00004028331],"domain_scores_gemma":[0.9993199,0.0002736282,0.00004042984,0.00008848881,0.00008998325,0.0001876015],"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":[0.0043792,0.002647606,0.341693,0.000537331,0.0001819919,0.05614892,0.002517822,0.006284914,0.07692283,0.0006674653,0.005809864,0.5022091],"study_design_scores_gemma":[0.0004982793,0.01036055,0.5479647,0.0004195841,0.0005819914,0.1753976,0.003411936,0.1801211,0.0627125,0.002686252,0.01546178,0.0003837757],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723701,0.0007601061,0.02046927,0.000304203,0.00005718018,0.0001274255,0.0001808195,0.0002971709,0.005433635],"genre_scores_gemma":[0.9877084,0.0003426906,0.01036832,0.0001902248,0.0000796487,0.00003163086,0.0001659067,0.00002912935,0.001084098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006063336,"threshold_uncertainty_score":0.02028388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513665716208271,"score_gpt":0.2824516123707334,"score_spread":0.2573149552086507,"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."}}