{"id":"W3162491331","doi":"10.1002/tee.23388","title":"Bioimpedance‐based plethysmogram detection using MHz band","year":2021,"lang":"en","type":"article","venue":"IEEJ Transactions on Electrical and Electronic Engineering","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"David Suzuki Foundation","keywords":"Wearable computer; Plethysmograph; Acoustics; Electrical impedance; Computer science; Biomedical engineering; Electrical engineering; Electronic engineering; Physics; Engineering; Medicine; Cardiology; Embedded system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004708477,0.0006324493,0.0006251727,0.0007518414,0.0001467051,0.0006421008,0.0004248771,0.0007330397,0.001584637],"category_scores_gemma":[0.001668067,0.0002005811,0.0002633051,0.000636257,0.0003056722,0.0007451575,0.000359649,0.0003840374,0.000729448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008487787,"about_ca_system_score_gemma":0.0001221226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001416932,"about_ca_topic_score_gemma":0.0002767958,"domain_scores_codex":[0.9994076,0.00014337,0.00004510838,0.0001448654,0.0002325197,0.00002642732],"domain_scores_gemma":[0.9993143,0.0003957467,0.00009857615,0.0000637425,0.0001081748,0.0000195561],"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":[0.0004454822,0.0001125693,0.009002461,0.0008964794,0.000100625,0.0002407114,0.0002134605,0.0004584001,0.7009072,0.0004302968,0.001229345,0.2859629],"study_design_scores_gemma":[0.0001256182,0.002766138,0.175412,0.0003869148,0.000594589,0.008051069,0.0004661172,0.02537935,0.7606943,0.002470597,0.02341132,0.00024206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4052776,0.01852684,0.5601484,0.0005360179,0.001124318,0.0003456937,0.001350507,0.002128057,0.01056257],"genre_scores_gemma":[0.8212731,0.00875017,0.164037,0.0006215309,0.0008715396,0.0003719072,0.0004855736,0.0001514307,0.003437925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001584637,"threshold_uncertainty_score":0.005301178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007851818192102853,"score_gpt":0.2026610038414474,"score_spread":0.1948091856493445,"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."}}