{"id":"W4405939331","doi":"10.3390/prosthesis7010003","title":"Sensory Feedback of Grasp Security by Direct Neural Stimulation Improves Amputee Prediction of Object Slip","year":2024,"lang":"en","type":"article","venue":"Prosthesis","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Vetenskapsrådet; IngaBritt och Arne Lundbergs Forskningsstiftelse; Stiftelsen Promobilia","keywords":"GRASP; Sensory system; Sensory stimulation therapy; Stimulation; Slip (aerodynamics); Computer science; Object (grammar); Physical medicine and rehabilitation; Artificial intelligence; Artificial neural network; Computer vision; Neuroscience; Psychology; Medicine; Engineering; Aerospace engineering","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":[0.0003872285,0.0004315809,0.0002006195,0.0001910894,0.00006545272,0.0002253252,0.0001734927,0.0003033344,0.002631851],"category_scores_gemma":[0.002381959,0.0001398118,0.0001512655,0.00004901851,0.0002206289,0.000225292,0.0003691412,0.0003022251,0.0002219683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009220098,"about_ca_system_score_gemma":0.000139039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003276224,"about_ca_topic_score_gemma":0.0003820143,"domain_scores_codex":[0.9999006,0.0000193264,0.00001153958,0.0000248297,0.00003077906,0.00001299356],"domain_scores_gemma":[0.9995019,0.0003228425,0.00006835695,0.00002889817,0.00004485772,0.00003316037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003703855,0.00118578,0.009516606,0.0005463468,0.00006841194,0.0001600884,0.0002607669,0.004212807,0.8486347,0.00006334442,0.0003156959,0.1313316],"study_design_scores_gemma":[0.0007394393,0.03953883,0.4284163,0.0002828338,0.0003628067,0.001797754,0.0005555215,0.08567669,0.4390551,0.001226296,0.002254068,0.00009438142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904218,0.0002165356,0.008587785,0.00004542869,0.00001749565,0.00003902269,0.00002697065,0.0001032112,0.0005417801],"genre_scores_gemma":[0.996447,0.00009104075,0.002929314,0.00002895769,0.000007629724,0.00002079869,0.00001969976,0.000007954689,0.0004477033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002631851,"threshold_uncertainty_score":0.008804381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008267029461195601,"score_gpt":0.2031260492840475,"score_spread":0.1948590198228519,"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."}}