{"id":"W7014656968","doi":"","title":"A Radar-Based In-Cabin Health Monitoring System","year":2024,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Vital signs; Respiratory monitoring; Health care; Radar; Heartbeat; Remote patient monitoring","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":[0.0004672615,0.0007650353,0.0008902064,0.0009312375,0.0005233951,0.0009520271,0.001735483,0.001106834,0.01048842],"category_scores_gemma":[0.0007573511,0.0002615489,0.0002502466,0.0003876067,0.0001929407,0.0008702833,0.0009117111,0.0005818914,0.006253571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005419047,"about_ca_system_score_gemma":0.0006489819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002325331,"about_ca_topic_score_gemma":0.001561771,"domain_scores_codex":[0.9993029,0.00008844386,0.00005170341,0.0002031145,0.0002709602,0.00008283443],"domain_scores_gemma":[0.9993408,0.00007275525,0.00008264308,0.0000803408,0.0003544511,0.00006892114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001975046,0.0011946,0.008682933,0.001100169,0.0001441874,0.001813454,0.0007577694,0.01046886,0.2843223,0.004643023,0.09191862,0.5929791],"study_design_scores_gemma":[0.0005328984,0.002700545,0.01468552,0.0001947281,0.0003118486,0.004269995,0.0003049041,0.5361285,0.2695728,0.001966527,0.1690621,0.0002696879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1578405,0.003846747,0.6929824,0.00291191,0.002121417,0.00162439,0.002964206,0.06428594,0.07142246],"genre_scores_gemma":[0.8300703,0.001170625,0.113077,0.002043304,0.0005088002,0.0005594433,0.002402968,0.0002999243,0.04986771],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01048842,"threshold_uncertainty_score":0.03508729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009452043672161129,"score_gpt":0.2014048105855988,"score_spread":0.1919527669134376,"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."}}