{"id":"W4401105627","doi":"10.1088/1741-2552/ad692e","title":"Comparing online wrist and forearm EMG-based control using a rhythm game-inspired evaluation environment","year":2024,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wrist; Forearm; Rhythm; Computer science; Control (management); Physical medicine and rehabilitation; Simulation; Human–computer interaction; Artificial intelligence; Medicine; Anatomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002050569,0.001404091,0.000656778,0.001046162,0.0002060895,0.001387233,0.0008473728,0.0006889451,0.003204085],"category_scores_gemma":[0.01192448,0.0002010987,0.0005566836,0.000291454,0.0003950519,0.001013912,0.001229549,0.0005365599,0.0006451446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109759,"about_ca_system_score_gemma":0.0003063754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006722833,"about_ca_topic_score_gemma":0.0008564412,"domain_scores_codex":[0.9977406,0.001040125,0.0002170188,0.0003335884,0.0005111723,0.0001574265],"domain_scores_gemma":[0.994758,0.003151872,0.0004266856,0.000347572,0.0008072075,0.0005087227],"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":[0.02150894,0.01472495,0.0429186,0.003665236,0.0007471809,0.001171586,0.003049686,0.09212153,0.3635549,0.006066548,0.007097883,0.4433731],"study_design_scores_gemma":[0.001945833,0.03877488,0.1389011,0.0004088072,0.0005036161,0.0008757375,0.001460172,0.6940342,0.1079632,0.004592779,0.01011105,0.0004286036],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255138,0.0001364347,0.06920423,0.00006905542,0.00009007316,0.0008024352,0.0003894011,0.0008720932,0.002922554],"genre_scores_gemma":[0.9471074,0.00007880091,0.04877986,0.00008863754,0.00002891664,0.001022428,0.0007257372,0.000106297,0.002061913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003204085,"threshold_uncertainty_score":0.01084453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858018572103454,"score_gpt":0.2458801231832345,"score_spread":0.2172999374621999,"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."}}