{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003072312,0.0007764902,0.0005050983,0.002313871,0.0001783842,0.0005060813,0.0002901202,0.0004952486,0.002067404],"category_scores_gemma":[0.001425901,0.0001318509,0.000497013,0.001131883,0.0001675647,0.0007399907,0.0004700015,0.0003429998,0.0006464716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001834736,"about_ca_system_score_gemma":0.0002357639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001450908,"about_ca_topic_score_gemma":0.001949481,"domain_scores_codex":[0.9997976,0.00002281189,0.0000245334,0.00005366054,0.00007639892,0.00002490131],"domain_scores_gemma":[0.9996386,0.00008353103,0.00007889975,0.00003385322,0.0001388981,0.0000261896],"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":[0.001133686,0.0003064511,0.01800979,0.0004013814,0.0002202526,0.0003507315,0.0001519288,0.03160302,0.07854859,0.001263686,0.005359784,0.8626508],"study_design_scores_gemma":[0.00004847271,0.0005790946,0.1105338,0.0001193216,0.000173817,0.0008897362,0.0002070362,0.8529763,0.02519359,0.00384393,0.00533519,0.00009981891],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4969418,0.00262026,0.4896135,0.0002918756,0.0003154028,0.0001746537,0.002472068,0.002553202,0.005017285],"genre_scores_gemma":[0.9094694,0.0009731193,0.08515272,0.00007392874,0.0002008498,0.0001216952,0.002168991,0.00008081453,0.001758538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002313871,"threshold_uncertainty_score":0.006916225,"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."}}