{"id":"W2136200312","doi":"10.1109/iembs.2005.1615400","title":"The Motor Unit Innervation Process Correlation and Its Effects on EMG Applications","year":2005,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Motor unit; Correlation; Uncorrelated; Spectral density; Process (computing); Computer science; Control theory (sociology); Mathematics; Neuroscience; Artificial intelligence; Statistics; Psychology","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":[0.003411122,0.0005375343,0.0006238822,0.0005320378,0.0003667605,0.0006479588,0.00062455,0.001054239,0.001638804],"category_scores_gemma":[0.03712085,0.0003691351,0.0005514097,0.0009302461,0.0008323733,0.001128018,0.0009627013,0.0008740828,0.0002918199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003800651,"about_ca_system_score_gemma":0.0005851873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196022,"about_ca_topic_score_gemma":0.0008546583,"domain_scores_codex":[0.9980337,0.000892498,0.00009375639,0.0002116475,0.0006184276,0.0001500193],"domain_scores_gemma":[0.954558,0.03941382,0.002274629,0.001891257,0.001543599,0.0003186855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002220173,0.0003397542,0.04677919,0.0005776487,0.000192938,0.003619437,0.0007468475,0.7305846,0.05710264,0.01762806,0.001199774,0.1390088],"study_design_scores_gemma":[0.00003615847,0.0005427028,0.03451633,0.00008231454,0.00009705908,0.001704819,0.0001274351,0.9273304,0.02769301,0.00684858,0.0009650009,0.00005623984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.766771,0.001234188,0.2246979,0.0007578579,0.00006101505,0.00007759047,0.0001606588,0.000366053,0.005873636],"genre_scores_gemma":[0.9915456,0.0003727,0.00747734,0.00005334488,0.00002331479,0.00002134036,0.00006396198,0.00004610349,0.0003963591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003411122,"threshold_uncertainty_score":0.01804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007754551640189157,"score_gpt":0.2217029186438176,"score_spread":0.2139483670036284,"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."}}