{"id":"W2168924718","doi":"10.1109/imtc.2010.5488160","title":"Improvement of oscillometric blood pressure estimates through suppression of breathing effects","year":2010,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; University of Ottawa","funders":"Ontario Centres of Excellence","keywords":"Breathing; SIGNAL (programming language); Waveform; Multiplicative noise; Computer science; Noise (video); Blood pressure; Adaptive filter; Control theory (sociology); Electronic engineering; Medicine; Anesthesia; Analog signal; Artificial intelligence; Engineering; Algorithm; Telecommunications; Signal transfer function; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000149822,0.00009742197,0.000333965,0.0001517815,0.00002870871,0.000005017451,0.00007415185,0.00008393463,0.0001096831],"category_scores_gemma":[0.0003758083,0.0000648681,0.0001119514,0.0003733716,0.00003983196,0.00005896893,0.00004968223,0.0001569148,0.000002120493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002073343,"about_ca_system_score_gemma":0.00001932499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004095441,"about_ca_topic_score_gemma":0.000001512164,"domain_scores_codex":[0.9992004,0.000007480438,0.0002304516,0.0001593868,0.0002720985,0.0001301612],"domain_scores_gemma":[0.9992123,0.000186942,0.0001188594,0.0003103077,0.0001173386,0.00005427566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001446419,0.0003121756,0.07298095,0.000808296,0.0003053941,0.000005018786,0.0001309337,0.000007365375,0.9193966,0.00004320409,0.0000723292,0.005923208],"study_design_scores_gemma":[0.0008282235,0.0004030935,0.01260046,0.0002162936,0.001587231,0.000006148328,0.00003585647,0.0006551958,0.9834417,0.00007237021,0.00009460696,0.00005888769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960544,0.0005591798,0.0004567343,0.00006696398,0.0002207738,0.0001434236,0.000002835496,0.0000331916,0.002462575],"genre_scores_gemma":[0.9816258,0.00003137949,0.0170136,0.00001457658,0.00008280071,0.000005357295,0.000003645903,0.00001017171,0.001212689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06404497,"threshold_uncertainty_score":0.2645244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007007731405806058,"score_gpt":0.2759316901518611,"score_spread":0.2689239587460551,"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."}}