{"id":"W4400114619","doi":"10.1109/i2mtc60896.2024.10561023","title":"Postural Sway Classification using Bispectrum","year":2024,"lang":"en","type":"article","venue":"","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Bispectrum; Computer science; Artificial intelligence; Pattern recognition (psychology); Speech recognition; 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":[0.00002383489,0.00004542922,0.00004051636,0.00008852068,0.0000172117,0.00006729874,0.00002343579,0.00002161231,0.0005297235],"category_scores_gemma":[0.000001792224,0.00003782006,0.00004240042,0.0002005402,0.000004847973,0.00007810757,0.00000305238,0.00004862876,0.0004011288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002996271,"about_ca_system_score_gemma":0.000003738865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000013212,"about_ca_topic_score_gemma":0.000009763197,"domain_scores_codex":[0.9997461,0.000003311023,0.00006742894,0.00006466381,0.0000457572,0.00007277149],"domain_scores_gemma":[0.999912,0.000007286063,0.000002204738,0.0000472245,0.000007941308,0.00002338985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001890495,0.00002239904,0.001101237,0.0002094732,0.0003560223,0.00002498616,0.0003948736,0.004772409,0.8651692,0.01903098,0.008204822,0.1007117],"study_design_scores_gemma":[0.000021805,0.000002027048,0.002229249,0.00001284335,0.0000228916,0.000006325074,0.00009772198,0.9893014,0.003727749,0.0002815124,0.004221002,0.00007541438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8895481,0.0005721288,0.03311798,0.0004647564,0.0005559719,0.00004693647,0.000004548509,0.001489548,0.07420008],"genre_scores_gemma":[0.9986197,0.00002640439,0.0006265672,0.00002869696,0.00006848151,0.000001228026,0.000009918446,0.00001007851,0.0006088973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9845291,"threshold_uncertainty_score":0.5800101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02944709043627277,"score_gpt":0.2516417065251594,"score_spread":0.2221946160888867,"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."}}