{"id":"W4403985208","doi":"10.23977/acss.2024.080613","title":"A dual-branch network architecture for sEMG-based gesture recognition","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Architecture; Gesture recognition; Gesture; Dual (grammatical number); Speech recognition; Computer architecture; Artificial intelligence; History; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002534092,0.0008729954,0.0004923004,0.0003532421,0.0002619367,0.0004507326,0.001224251,0.0006410076,0.003387046],"category_scores_gemma":[0.0003471212,0.0002863699,0.0004840813,0.0003271966,0.0002511374,0.0007244442,0.0005868442,0.000832758,0.001218609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000515206,"about_ca_system_score_gemma":0.000651299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007771317,"about_ca_topic_score_gemma":0.01345298,"domain_scores_codex":[0.9998786,0.00001429162,0.000006563303,0.00004356945,0.00003051031,0.00002641731],"domain_scores_gemma":[0.999904,0.00001695406,0.000008942004,0.00001162171,0.00004732292,0.00001108983],"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":[0.0004441216,0.0003091442,0.002782772,0.0001929126,0.0001833552,0.0002536001,0.00008463155,0.2980507,0.05317642,0.005500137,0.01150995,0.6275122],"study_design_scores_gemma":[0.00001004819,0.0001111034,0.0005144216,0.00001145566,0.00003325774,0.00004642609,0.000008097716,0.9912976,0.005223146,0.001201152,0.001533918,0.000009364525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1076703,0.002716648,0.8661366,0.0007974814,0.000487939,0.0001691014,0.0006273449,0.004939155,0.01645545],"genre_scores_gemma":[0.8863913,0.0009618496,0.09228551,0.0004014947,0.0001058491,0.0002238797,0.001113828,0.00008654963,0.01842977],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007771317,"threshold_uncertainty_score":0.01545215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014635009694853,"score_gpt":0.2689264057189966,"score_spread":0.248780055622048,"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."}}