{"id":"W4377000512","doi":"10.1109/lsens.2023.3277365","title":"A Wearable mm-Wave Radar Platform for Cardiorespiratory Monitoring","year":2023,"lang":"en","type":"article","venue":"IEEE Sensors Letters","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cardiorespiratory fitness; Radar; Waveform; Displacement (psychology); Wearable computer; Respiratory rate; Acoustics; Computer science; Remote sensing; Heart rate; Medicine; Physics; Telecommunications; Geology; Internal medicine; Embedded system","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":[0.0002531221,0.0004358181,0.0004088896,0.0001957757,0.0000849339,0.0003655801,0.0005604776,0.0005998777,0.002498549],"category_scores_gemma":[0.0005144179,0.0001668406,0.0002107217,0.0001806236,0.00007263818,0.0003384841,0.0003847184,0.0003149468,0.001765727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000802666,"about_ca_system_score_gemma":0.0001296971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009725201,"about_ca_topic_score_gemma":0.0001314383,"domain_scores_codex":[0.9997963,0.00004330556,0.00001122817,0.00004544439,0.00008626511,0.00001743114],"domain_scores_gemma":[0.9998085,0.00004786147,0.00004112698,0.00003789629,0.00004548648,0.0000191492],"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":[0.0003520874,0.0001162461,0.002568178,0.0004911518,0.00005187525,0.0006397738,0.0001069951,0.002831127,0.8390847,0.001330195,0.004108773,0.1483189],"study_design_scores_gemma":[0.0002240056,0.005316066,0.03428616,0.0002181548,0.0002547753,0.009864228,0.0001347956,0.1290065,0.7366065,0.001456184,0.08247367,0.0001589467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2066369,0.00277416,0.7782184,0.0003997366,0.0006274204,0.0002881923,0.0007047617,0.003181875,0.00716853],"genre_scores_gemma":[0.756797,0.001407141,0.2270177,0.0007332186,0.0002042189,0.0003284301,0.0007628514,0.0001254891,0.01262388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002498549,"threshold_uncertainty_score":0.008358419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03610503542252409,"score_gpt":0.2343125343709837,"score_spread":0.1982074989484596,"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."}}