{"id":"W4402979251","doi":"10.1109/ap-s/inc-usnc-ursi52054.2024.10686877","title":"Multi-Person Hallway Gait Monitoring using mm-Wave FMCW Radar","year":2024,"lang":"en","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":"Continuous-wave radar; Computer science; Radar; Radar engineering details; Remote sensing; Gait; Radar lock-on; Radar imaging; Geology; Telecommunications; Physical medicine and rehabilitation; Medicine","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":[0.0002616876,0.0004478317,0.0004470397,0.0006085769,0.000117153,0.000303267,0.0003635107,0.0006208896,0.0007087201],"category_scores_gemma":[0.0005763419,0.0001415919,0.0002070985,0.0003425835,0.00009323533,0.0004209709,0.0004052828,0.000232076,0.0005000989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007277913,"about_ca_system_score_gemma":0.00009757703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000298823,"about_ca_topic_score_gemma":0.0004717923,"domain_scores_codex":[0.9996837,0.00006740384,0.00001687632,0.00008589864,0.0001151377,0.00003090102],"domain_scores_gemma":[0.9998024,0.00004546139,0.0000419226,0.00002960996,0.00006177556,0.00001880756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004821197,0.0002583858,0.01285411,0.0003403269,0.0001307273,0.0003025294,0.0001982968,0.005725488,0.3779919,0.0006280732,0.002565318,0.5985227],"study_design_scores_gemma":[0.0002298816,0.00275976,0.09859303,0.0001884819,0.0003517516,0.007858199,0.0004325657,0.4970018,0.3695095,0.003074882,0.01979474,0.0002053753],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2250786,0.0007458523,0.7683524,0.0001479113,0.0001523122,0.00008190557,0.0002420784,0.001795481,0.003403432],"genre_scores_gemma":[0.7835447,0.0004143646,0.2129308,0.0002048136,0.00009272232,0.00007853415,0.0002446657,0.00004663296,0.002442665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007087201,"threshold_uncertainty_score":0.002370954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06331606693585051,"score_gpt":0.2624400127477282,"score_spread":0.1991239458118777,"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."}}