{"id":"W2985439357","doi":"10.1016/j.avsg.2019.10.092","title":"Proficiency of Medical Students at Obtaining Pressure Measurement Readings Using Automated Ankle and Toe Measuring Devices for Diagnosis of Lower Extremity Peripheral Artery Disease","year":2019,"lang":"en","type":"article","venue":"Annals of Vascular Surgery","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Medicine; Arterial disease; Ankle; Peripheral; Disease; Radiology; Cardiology; Internal medicine; Surgery; Vascular disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00299951,0.0002471107,0.000879442,0.0001910022,0.0000632896,0.00002234269,0.0002307638,0.00009222513,0.0001546577],"category_scores_gemma":[0.000588609,0.000220326,0.0004888395,0.0002078371,0.0001230455,0.0002100794,0.0002690161,0.00007509358,8.358888e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000507094,"about_ca_system_score_gemma":0.000196447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007099847,"about_ca_topic_score_gemma":0.000007997758,"domain_scores_codex":[0.995547,0.0001386419,0.0007944928,0.0004510152,0.002684281,0.0003845437],"domain_scores_gemma":[0.9980512,0.000155739,0.0004067283,0.0004589784,0.0005863695,0.0003409498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005850751,0.0009953757,0.9879752,0.004433873,0.001049276,0.00002762579,0.0002556705,0.0001472131,0.002427571,0.00001069438,0.0005968911,0.001495499],"study_design_scores_gemma":[0.00115403,0.0001600944,0.9744667,0.003864998,0.0007430037,0.000004357692,0.00016365,0.01486447,0.003509094,0.00001234941,0.0007866779,0.0002705397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931473,0.005056781,0.00007812784,0.0003648991,0.0001520433,0.001083969,0.00002709852,0.00005996292,0.00002986092],"genre_scores_gemma":[0.9990977,0.00033495,0.0001097342,0.0002670726,0.00004042965,0.00007713119,0.0000154809,0.00003250173,0.00002499704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01471725,"threshold_uncertainty_score":0.8984632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08414639172428033,"score_gpt":0.3325340623347571,"score_spread":0.2483876706104767,"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."}}