{"id":"W4386920324","doi":"10.1109/sas58821.2023.10254073","title":"Radar Based Fall Detection with Imbalance Data Handling and Data Augmentation","year":2023,"lang":"en","type":"article","venue":"","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University; McGill University","funders":"","keywords":"Computer science; Radar; Radar tracker; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0001106913,0.00005347755,0.00005748262,0.00006871318,0.00004035085,0.00004724473,0.0001152554,0.00001630168,0.00003549349],"category_scores_gemma":[0.00001037067,0.00004557591,0.000004406474,0.0002316236,0.000007616437,0.0002546793,0.00004409678,0.00003763003,0.00003626891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006732746,"about_ca_system_score_gemma":0.000004192472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005791085,"about_ca_topic_score_gemma":0.0009189087,"domain_scores_codex":[0.9996029,0.000006979047,0.00006883879,0.0001685427,0.00007613923,0.00007655887],"domain_scores_gemma":[0.9995931,0.00002253909,0.000009911524,0.0003365409,0.00001034254,0.00002759023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009191658,0.00007522528,0.02841432,0.0007173466,0.0007445548,0.00005137418,0.0002724746,0.04908371,0.1593881,0.00002871791,0.01856132,0.7425709],"study_design_scores_gemma":[0.0003162026,0.000006788969,0.004127533,0.00001401974,0.00003456881,0.000001345949,0.0001017367,0.9906626,0.003093538,0.000006844245,0.001557997,0.00007681916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4320174,0.00007114268,0.5650215,0.000141298,0.000106248,0.0001197025,0.0001936109,0.0009968285,0.001332247],"genre_scores_gemma":[0.994635,0.00006843967,0.003319255,0.00003926427,0.00002728224,0.000002546604,0.001788625,0.0000106554,0.0001088844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9415789,"threshold_uncertainty_score":0.1858532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04260541328693997,"score_gpt":0.2619890637134939,"score_spread":0.2193836504265539,"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."}}