{"id":"W2037817766","doi":"10.1111/j.1440-1681.2010.05406.x","title":"Frequency response of implantable blood pressure telemetry systems","year":2010,"lang":"en","type":"article","venue":"Clinical and Experimental Pharmacology and Physiology","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"University of Auckland; Tertiary Education Commission","keywords":"Telemetry; Frequency response; Biomedical engineering; Waveform; Blood pressure; Medicine; Materials science; Computer science; Internal medicine; Telecommunications; Electrical engineering; Engineering","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":[0.0006270225,0.000310485,0.0002526095,0.0004406444,0.000144007,0.0004699351,0.0006792931,0.0007222529,0.002278986],"category_scores_gemma":[0.005035442,0.0001625006,0.0001882058,0.0003363091,0.0002830116,0.0004690541,0.0003353188,0.0004486069,0.0007512279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003345454,"about_ca_system_score_gemma":0.0001264468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002070501,"about_ca_topic_score_gemma":0.0001208053,"domain_scores_codex":[0.9991216,0.0001519313,0.0000732089,0.000174401,0.0004151873,0.00006357468],"domain_scores_gemma":[0.996998,0.00143711,0.0005684166,0.0002552438,0.0006471278,0.00009411582],"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":[0.0006173403,0.0001106509,0.005282752,0.0002428344,0.00002887515,0.000117417,0.000267563,0.002008825,0.9350664,0.000312307,0.0005269094,0.05541814],"study_design_scores_gemma":[0.0001089517,0.004882299,0.07958188,0.000133366,0.0001335729,0.00211833,0.0002422281,0.03064835,0.8697812,0.0007512794,0.0115276,0.00009092896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9016886,0.001741699,0.09174085,0.0002739554,0.0002694271,0.0002135051,0.0005789064,0.0008952011,0.002597731],"genre_scores_gemma":[0.9791515,0.0005959696,0.01759885,0.0002628193,0.00005576722,0.0001429845,0.0003700173,0.00006080291,0.001761388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002278986,"threshold_uncertainty_score":0.007623971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644688693826929,"score_gpt":0.3240400859880907,"score_spread":0.3075931990498214,"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."}}