{"id":"W4396622974","doi":"10.21203/rs.3.rs-4259409/v1","title":"Revolutionizing Geriatric Care: Radar and Digital Twin Technology for Fall Severity Detection","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Radar; Computer science; Remote sensing; Telecommunications; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004077911,0.0003132701,0.0003273198,0.001188352,0.0002327543,0.0004526202,0.0003030366,0.0006537943,0.000002558417],"category_scores_gemma":[0.0004789448,0.0003540984,0.0001350584,0.0008794304,0.0001249063,0.0001459938,0.00140416,0.002049036,0.00004294041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285296,"about_ca_system_score_gemma":0.0001425081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008911104,"about_ca_topic_score_gemma":0.00006469733,"domain_scores_codex":[0.9978073,0.00004666772,0.0002907544,0.0006674401,0.0004705545,0.0007173134],"domain_scores_gemma":[0.9987312,0.0002282484,0.00002779334,0.0004787247,0.000395744,0.0001383144],"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":[0.0002126875,0.0001075263,0.02425376,0.09276818,0.0009862045,0.0003482371,0.002749326,0.003890783,0.1503893,0.001317018,0.003488546,0.7194884],"study_design_scores_gemma":[0.005262771,0.002807265,0.01339165,0.01798251,0.0005733834,0.000459862,0.01751244,0.02548471,0.4013522,0.4009519,0.1049902,0.009231122],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104245,0.05842324,0.01939426,0.0001887826,0.002847844,0.003717973,0.0007255077,0.00234853,0.00192932],"genre_scores_gemma":[0.9959878,0.0006451292,0.001539857,6.706243e-7,0.0009307275,0.000632236,0.00005081698,0.0001330383,0.00007976335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7102573,"threshold_uncertainty_score":0.9998911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357641117413628,"score_gpt":0.3069140458528641,"score_spread":0.2833376346787279,"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."}}