{"id":"W3111150669","doi":"10.1109/smc42975.2020.9283117","title":"A 3D-Printed, Adjustable Armband for Electromyography-Based Finger Movement Classification With Haptic Feedback","year":2020,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Microsoft","keywords":"Computer science; Artificial intelligence; Electromyography; Haptic technology; Classifier (UML); Feature extraction; Pattern recognition (psychology); Gesture recognition; Computer vision; Gesture; Speech recognition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005325188,0.0005673641,0.0004445202,0.0006417903,0.0001463149,0.000442571,0.0007122661,0.0007705612,0.002362138],"category_scores_gemma":[0.001894589,0.0002879924,0.0003572687,0.0004618884,0.0002625303,0.0004133198,0.0003705655,0.0002731883,0.0009539566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505881,"about_ca_system_score_gemma":0.0001813719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004128618,"about_ca_topic_score_gemma":0.0008439034,"domain_scores_codex":[0.9995129,0.00007334689,0.00004815292,0.0001345158,0.0002014578,0.00002962852],"domain_scores_gemma":[0.9989597,0.0004129238,0.0001922701,0.0001915004,0.0001879243,0.00005565394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005870598,0.0001206534,0.001940547,0.0002458057,0.00004857453,0.000290084,0.0000711671,0.003577864,0.767284,0.0002517428,0.001007549,0.224575],"study_design_scores_gemma":[0.0001880067,0.003619075,0.05364545,0.00009986599,0.0002124609,0.005656108,0.00007191116,0.2929421,0.622382,0.0006865977,0.02023934,0.0002570487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1949055,0.0006884968,0.797618,0.0002478161,0.000251516,0.000202475,0.000463458,0.004038736,0.001583992],"genre_scores_gemma":[0.5726829,0.0002554828,0.4228212,0.0002217422,0.00006767218,0.0001866355,0.0002772348,0.0001303556,0.00335677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002362138,"threshold_uncertainty_score":0.007902145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061262025583991,"score_gpt":0.2077754028431318,"score_spread":0.1871627825872919,"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."}}