{"id":"W4417519355","doi":"10.64898/2025.12.17.694831","title":"An EMG Foundation Model for Neural Decoding","year":2025,"lang":"","type":"article","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scalability; Deep learning; Artificial neural network; Convolutional neural network; Benchmark (surveying); Generalization; Decoding methods; Transformer","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":[0.0009753007,0.0008689847,0.0007278572,0.0005512848,0.0002259681,0.0007932792,0.001408021,0.0008552114,0.004967554],"category_scores_gemma":[0.003860696,0.0004891187,0.001079971,0.0005564264,0.0004619063,0.001185575,0.0009844261,0.001743759,0.002200159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008138241,"about_ca_system_score_gemma":0.001689251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007113443,"about_ca_topic_score_gemma":0.01176917,"domain_scores_codex":[0.9996166,0.00009613649,0.00002742517,0.0001070429,0.00009727796,0.00005554431],"domain_scores_gemma":[0.9993365,0.000274328,0.00005471307,0.0001006175,0.000200281,0.00003352859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002945975,0.0001203304,0.002413169,0.0001456765,0.000137007,0.0002017544,0.0001097567,0.7386357,0.0135474,0.01692075,0.01219435,0.2152795],"study_design_scores_gemma":[0.00000770075,0.00002731422,0.0002591441,0.00001073334,0.000009028427,0.00003333872,0.000004588704,0.9935238,0.001587135,0.003407579,0.001123945,0.000005752956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03242749,0.000340003,0.9584696,0.0004276848,0.0001186648,0.00008434104,0.00123411,0.003848169,0.003049897],"genre_scores_gemma":[0.7363601,0.0006722327,0.2419628,0.0004033745,0.0001287107,0.000574609,0.004847746,0.001035095,0.01401536],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007113443,"threshold_uncertainty_score":0.01661807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005360937460138,"score_gpt":0.2780546210376661,"score_spread":0.2480010116630647,"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."}}