{"id":"W4405361487","doi":"10.1109/aiotsys63104.2024.10780533","title":"Enhanced Non-Contact Vital Sign Monitoring via Depth Camera-assisted Millimeter-Wave Radar","year":2024,"lang":"en","type":"article","venue":"","topic":"Traumatic Ocular and Foreign Body Injuries","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Fundo para o Desenvolvimento das Ciências e da Tecnologia; National Natural Science Foundation of China","keywords":"Extremely high frequency; Radar; Sign (mathematics); Remote sensing; Radar engineering details; Radar imaging; Computer science; Telecommunications; Geology","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":[0.0004382902,0.0005671091,0.000598261,0.0005197647,0.0001239602,0.0005311445,0.000730084,0.0007998953,0.001444615],"category_scores_gemma":[0.001297103,0.0002949824,0.000269528,0.0003314303,0.0001466719,0.0009774487,0.0009270002,0.0004637385,0.0007974268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001662844,"about_ca_system_score_gemma":0.0002378044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003363382,"about_ca_topic_score_gemma":0.0004885652,"domain_scores_codex":[0.999302,0.0001673607,0.00003974387,0.0001248988,0.0003164274,0.0000495149],"domain_scores_gemma":[0.9993346,0.0001942524,0.0001347563,0.00006891886,0.0002272611,0.00004011553],"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":[0.0005018162,0.0001549161,0.003883317,0.0004588249,0.00005498408,0.0002749561,0.0001687269,0.002878732,0.7227515,0.0009898659,0.00284472,0.2650377],"study_design_scores_gemma":[0.0002924138,0.002353966,0.02405352,0.0001578103,0.0002342264,0.005780533,0.0001478655,0.3259845,0.6124951,0.001594048,0.02663768,0.0002684085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08787601,0.002222258,0.901438,0.000629749,0.0002742949,0.0002085758,0.0003044945,0.003062586,0.00398398],"genre_scores_gemma":[0.6333984,0.001522895,0.3575861,0.001407941,0.0002896394,0.0001789,0.0003126202,0.0001082444,0.005195245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001444615,"threshold_uncertainty_score":0.004832685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451295279460755,"score_gpt":0.2819479642085095,"score_spread":0.257435011413902,"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."}}