{"id":"W2770318091","doi":"10.1109/ultsym.2017.8092784","title":"Continuous measurement of arterial diameter changes using a wearable and flexible ultrasonic sensor","year":2017,"lang":"en","type":"article","venue":"2017 IEEE International Ultrasonics Symposium (IUS)","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Brachial artery; Ultrasonic sensor; Ultrasound; Wearable computer; Biomedical engineering; Arterial wall; Artery; Medicine; Cardiology; Computer science; Internal medicine; Radiology; Blood pressure; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006738694,0.0002139889,0.0004663423,0.000137272,0.0002363294,0.0001415435,0.0002227499,0.0001331608,0.00007429531],"category_scores_gemma":[0.0003526125,0.0002065267,0.0002731136,0.00003128425,0.0001450165,0.0002101479,0.00004779833,0.0001577029,0.0000179333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001955134,"about_ca_system_score_gemma":0.0002476341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003930975,"about_ca_topic_score_gemma":0.00007449518,"domain_scores_codex":[0.9980114,0.00005718746,0.0003651571,0.0003945561,0.0008437314,0.0003280089],"domain_scores_gemma":[0.9981418,0.00004995537,0.00039503,0.0006319361,0.0005267904,0.0002545294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001192694,0.0003692091,0.01741735,0.0004025525,0.0009213116,0.00004673004,0.0001999396,0.00009806876,0.9763128,0.0001477164,0.0005374562,0.002354237],"study_design_scores_gemma":[0.03760787,0.0011759,0.4681719,0.006447176,0.004057198,0.003003339,0.000479339,0.01743007,0.4309967,0.0007529635,0.02782724,0.002050379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885852,0.001006471,0.002333179,0.00137181,0.002276174,0.0006551486,0.000102744,0.00004554514,0.003623744],"genre_scores_gemma":[0.9957299,0.001196076,0.00189095,0.0001278342,0.0005033207,0.00003141346,0.00001972774,0.00003063476,0.0004701375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5453161,"threshold_uncertainty_score":0.8421915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05329911685793818,"score_gpt":0.3197893910059577,"score_spread":0.2664902741480195,"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."}}