{"id":"W2889549924","doi":"10.1109/ccece.2018.8447680","title":"A Highly Integrated Computing Platform for Continuous, Non-Invasive BP Estimation","year":2018,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Signal conditioning; Signal processing; Computer science; SIGNAL (programming language); Very-large-scale integration; Computer hardware; Analog signal; Analog front-end; Electronic engineering; Analog signal processing; Digital signal processing; Front and back ends; Embedded system; Engineering; CMOS","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001883783,0.0003449849,0.0003268447,0.0002291053,0.0002146547,0.0005424005,0.00108974,0.0004988199,0.003171139],"category_scores_gemma":[0.0004006351,0.0001502795,0.0001752085,0.0002432152,0.0001920469,0.0006530371,0.0005992902,0.0005971068,0.001142465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001882325,"about_ca_system_score_gemma":0.0003910223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002094667,"about_ca_topic_score_gemma":0.0004070478,"domain_scores_codex":[0.9997128,0.00002954226,0.00001284138,0.0000739816,0.0001452474,0.00002556516],"domain_scores_gemma":[0.9998604,0.00002571936,0.00002033669,0.00002931697,0.00004193815,0.00002219001],"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":[0.0003913168,0.000279886,0.001061547,0.0002897914,0.00007812637,0.0004001147,0.0001166572,0.01128184,0.7060278,0.01795235,0.005458715,0.2566619],"study_design_scores_gemma":[0.0001566586,0.003850361,0.005307681,0.0001067714,0.0002018647,0.00234599,0.00007113925,0.3754945,0.4819922,0.008307691,0.1220292,0.0001359181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05159754,0.001341624,0.9324353,0.0004148425,0.0002596008,0.0001531814,0.0001808595,0.002670283,0.01094673],"genre_scores_gemma":[0.5622665,0.0007354316,0.4266444,0.0004018757,0.0001893723,0.0001504714,0.0002601204,0.0001199408,0.009231917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003171139,"threshold_uncertainty_score":0.01060855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365155088494376,"score_gpt":0.2246982600338428,"score_spread":0.211046709148899,"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."}}