{"id":"W2965857341","doi":"10.1161/circimaging.119.008857","title":"Smartphone-Based Blood Pressure Measurement Using Transdermal Optical Imaging Technology","year":2019,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics; Barrie Urology Group; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Transdermal; Blood pressure; Biomedical engineering; Internal medicine; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005632993,0.0004381705,0.0003594669,0.0003147388,0.0001108926,0.0004384631,0.0004350556,0.0004574882,0.001168743],"category_scores_gemma":[0.003261714,0.0001381085,0.000251973,0.0002260103,0.0001968289,0.0003527191,0.0002624417,0.0002727359,0.0003406491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001967958,"about_ca_system_score_gemma":0.0002670843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719733,"about_ca_topic_score_gemma":0.002959468,"domain_scores_codex":[0.9993395,0.0002160455,0.00004523678,0.0001416976,0.0002273997,0.00003006903],"domain_scores_gemma":[0.9985556,0.0005890999,0.0003506053,0.0001110219,0.0003449035,0.00004891371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002256995,0.0007479676,0.3545667,0.001583919,0.0004427643,0.0008018299,0.0006816473,0.005844595,0.2582235,0.0006249602,0.005214097,0.369011],"study_design_scores_gemma":[0.0003027231,0.006743822,0.6257092,0.0003258953,0.0007665927,0.008396578,0.0004854605,0.1824157,0.1636189,0.001026897,0.01005258,0.0001555973],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167635,0.002450346,0.07444709,0.0007209169,0.0001989217,0.0002083753,0.001051521,0.0006185604,0.003540799],"genre_scores_gemma":[0.9669471,0.001158058,0.03012634,0.0003589142,0.0001487579,0.0001185815,0.0002996483,0.00002025038,0.0008223749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001719733,"threshold_uncertainty_score":0.003909886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113206180191417,"score_gpt":0.192962197984127,"score_spread":0.1818301361822128,"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."}}