{"id":"W4417132301","doi":"10.1109/ap-s/cnc-usnc-ursi55537.2025.11266204","title":"Multi-Radar Bio-Sensor Fusion for Real-Time, Distributed Sensing","year":2025,"lang":"","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Radar; Sensor fusion; Signal processing; Distribution (mathematics); Fusion; SIGNAL (programming language)","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":[0.0007012532,0.0005194423,0.0004579782,0.0004726692,0.0001571876,0.0004885149,0.0005572891,0.0006988975,0.001354362],"category_scores_gemma":[0.001006318,0.0002204129,0.0003485675,0.0004703175,0.000255321,0.0009562811,0.0008946021,0.0005859095,0.0005055038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002520759,"about_ca_system_score_gemma":0.0002365033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000177959,"about_ca_topic_score_gemma":0.000242371,"domain_scores_codex":[0.999387,0.0001546339,0.00003193124,0.0001523255,0.0002392434,0.00003480578],"domain_scores_gemma":[0.9996101,0.0001180894,0.00008952484,0.00006855368,0.00009461914,0.00001917679],"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":[0.0003125024,0.0001254934,0.001162542,0.0003664028,0.0001059873,0.0001647341,0.0002063597,0.02313507,0.6538381,0.005652148,0.002113799,0.3128169],"study_design_scores_gemma":[0.00005887231,0.0007875946,0.004337607,0.00009226324,0.0001260702,0.001129189,0.0001195616,0.5685346,0.3951131,0.008659303,0.0209469,0.00009508275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02368252,0.00107908,0.9725698,0.0002048909,0.0001190379,0.00004428254,0.00005333461,0.0006562707,0.001590806],"genre_scores_gemma":[0.5684309,0.001246387,0.4262937,0.0006313386,0.0001892359,0.0001338603,0.000204106,0.0001098426,0.002760545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001354362,"threshold_uncertainty_score":0.004530787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459285094968035,"score_gpt":0.2532678285761596,"score_spread":0.2386749776264792,"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."}}