{"id":"W2171188488","doi":"10.1682/jrrd.2010.09.0177","title":"Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use","year":2011,"lang":"en","type":"article","venue":"The Journal of Rehabilitation Research and Development","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":956,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Physical medicine and rehabilitation; Amputation; Artificial limbs; Prosthesis; Control (management); Upper limb; Computer science; Autonomy; Medicine; Artificial intelligence; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002732439,0.00006542199,0.0001839344,0.0001308562,0.00008678174,0.000009251512,0.00007830506,0.0000266679,0.000002280615],"category_scores_gemma":[0.0008587771,0.00003768136,0.00006084367,0.00008764495,0.0001741648,0.00009669512,0.00001387647,0.0001256556,6.362529e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001515186,"about_ca_system_score_gemma":0.0000594504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002310686,"about_ca_topic_score_gemma":0.00001802682,"domain_scores_codex":[0.9989313,0.0001688854,0.0004727546,0.00006359084,0.0002063676,0.0001571011],"domain_scores_gemma":[0.9961072,0.002868421,0.0001441295,0.00007744213,0.0007608401,0.00004198829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001723457,0.0002163728,0.02833438,0.000645956,0.000425532,8.148253e-8,0.01051034,0.00000446919,0.001091662,0.00004672909,0.0006746321,0.9563264],"study_design_scores_gemma":[0.001876878,0.004097284,0.9773104,0.0001837347,0.00002233469,0.000003880588,0.002386444,0.0001251514,0.005189014,0.004229731,0.0044899,0.00008528253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896846,0.001631606,0.006759922,0.0009431461,0.00004507482,0.0008986133,0.000009887844,0.000005265999,0.00002186826],"genre_scores_gemma":[0.9890765,0.005502108,0.005321471,0.00001387879,0.00001168827,0.00005759828,8.98268e-7,0.000008255725,0.000007622853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9562411,"threshold_uncertainty_score":0.1536601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1691483229188415,"score_gpt":0.3389811372415953,"score_spread":0.1698328143227538,"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."}}