{"id":"W1541548499","doi":"10.1109/wisp.2015.7139181","title":"Coefficient-free blood pressure estimation based on arterial lumen area oscillations in oscillometric methods","year":2015,"lang":"en","type":"article","venue":"","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Cuff; Blood pressure; Diastole; Lumen (anatomy); Biomedical engineering; Compliance (psychology); Medicine; Cardiology; Mathematics; Internal medicine; Materials science; Surgery","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":[0.001151561,0.000857343,0.0008572348,0.001311946,0.0003181676,0.001066071,0.001081713,0.0008729146,0.0009466723],"category_scores_gemma":[0.004396227,0.0004628722,0.0005349669,0.0007424944,0.0004738279,0.001040908,0.0008940848,0.0008815654,0.0008571522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000284816,"about_ca_system_score_gemma":0.0005334967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508931,"about_ca_topic_score_gemma":0.0009543911,"domain_scores_codex":[0.9990373,0.0002358944,0.0000613919,0.0002558074,0.0003588008,0.00005083562],"domain_scores_gemma":[0.9986762,0.000786293,0.0001480682,0.0001194201,0.0002363443,0.00003355248],"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":[0.0002771218,0.0001053247,0.004257032,0.0002079416,0.0001225457,0.0001575907,0.0002761536,0.1159318,0.05017,0.00731384,0.001397151,0.8197834],"study_design_scores_gemma":[0.00002085475,0.00006290681,0.001683725,0.00002120253,0.00002812495,0.0001789519,0.00001487908,0.9827711,0.01094981,0.002064401,0.002174167,0.00002993214],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004210578,0.00008130967,0.9952329,0.00001198584,0.0000107301,0.00001318248,0.000009429879,0.0003027504,0.0001272737],"genre_scores_gemma":[0.1134545,0.0002143108,0.8848462,0.00003673674,0.00005745351,0.0001262486,0.0001008666,0.0001699503,0.0009938164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001508931,"threshold_uncertainty_score":0.006090105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04049896234743355,"score_gpt":0.3497711766701475,"score_spread":0.309272214322714,"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."}}