{"id":"W4401538538","doi":"10.1109/infocomwkshps61880.2024.10620762","title":"Acoustic Sensing for Fitness Activities Recognition: A Deep Learning Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Deep learning; Speech recognition; Machine learning","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":[0.0003367712,0.000774444,0.0004441576,0.0004374194,0.0002076666,0.0004753746,0.0008107719,0.000764606,0.001628805],"category_scores_gemma":[0.0006114842,0.0002512534,0.0004756666,0.0004546599,0.0002154049,0.0005334253,0.0005994376,0.00114281,0.0005875763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004164129,"about_ca_system_score_gemma":0.0005155032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006255679,"about_ca_topic_score_gemma":0.008036977,"domain_scores_codex":[0.999859,0.00002471168,0.000009011799,0.00004222322,0.00003473608,0.00003031116],"domain_scores_gemma":[0.9998565,0.00005317996,0.00001446299,0.00001299326,0.00004717989,0.00001574441],"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":[0.0001690324,0.0004618229,0.004175076,0.0001207015,0.0001291655,0.0001400576,0.00007662946,0.2204664,0.02025051,0.003224495,0.005805401,0.7449806],"study_design_scores_gemma":[0.000003636089,0.0000413111,0.0007622729,0.0000117224,0.00001119878,0.00002222539,0.00001106466,0.9949906,0.001932893,0.001529751,0.0006770369,0.000006177385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06034528,0.00180327,0.9317524,0.0007397855,0.000160319,0.00005918005,0.0003239558,0.001263877,0.003551817],"genre_scores_gemma":[0.7960168,0.00152892,0.1910401,0.0005651523,0.0001436923,0.0001300124,0.001002232,0.00007189395,0.009501263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006255679,"threshold_uncertainty_score":0.01243854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675267442438284,"score_gpt":0.2824690797847713,"score_spread":0.2557164053603885,"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."}}