{"id":"W4394688828","doi":"10.1146/annurev-bioeng-110222-095816","title":"Integrating Upper-Limb Prostheses with the Human Body: Technology Advances, Readiness, and Roles in Human–Prosthesis Interaction","year":2024,"lang":"en","type":"article","venue":"Annual Review of Biomedical Engineering","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":26,"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":"Artificial limbs; Computer science; Prosthesis; Neural Prosthesis; Human–computer interaction; Engineering; Biomedical engineering; Artificial intelligence","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":[0.002323144,0.0005630361,0.0006858563,0.001745664,0.0003475563,0.002494493,0.0006383118,0.001331685,0.002024877],"category_scores_gemma":[0.002368162,0.0002329288,0.000520582,0.001254722,0.001550972,0.00339125,0.001107052,0.001284862,0.0006629811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007030841,"about_ca_system_score_gemma":0.001760647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006716916,"about_ca_topic_score_gemma":0.001163771,"domain_scores_codex":[0.9990931,0.0002479338,0.0001466185,0.0001329435,0.0003047775,0.00007471793],"domain_scores_gemma":[0.9980635,0.00134123,0.0001916061,0.00005087264,0.000294806,0.00005801898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001002997,0.000101673,0.001718029,0.01750906,0.00009925583,0.0004252198,0.001102818,0.0004327052,0.007262928,0.03593064,0.004882877,0.9304345],"study_design_scores_gemma":[0.00002654461,0.0007949767,0.01575581,0.02073476,0.0004366588,0.005937059,0.002835158,0.0009030824,0.01086695,0.05574645,0.8857999,0.0001625726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002688151,0.9868119,0.002796039,0.001887756,0.0003276392,0.00001626266,0.00001874297,0.00001847686,0.005435087],"genre_scores_gemma":[0.02202827,0.9721345,0.002907798,0.0008281863,0.000410215,0.00003354554,0.00003013224,0.000008309783,0.001619161],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002494493,"threshold_uncertainty_score":0.01228613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003825072217428897,"score_gpt":0.2469960477916951,"score_spread":0.2431709755742662,"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."}}