{"id":"W4409357911","doi":"10.1115/1.4068430","title":"Harnessing Biomechanical Energy Using Shoulder Exoskeleton: Electrical Energy Regeneration","year":2025,"lang":"en","type":"article","venue":"Journal of Mechanisms and Robotics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Exoskeleton; Biomechanics; Regeneration (biology); Energy (signal processing); Computer science; Engineering; Physical medicine and rehabilitation; Mechanical engineering; Simulation; Medicine; Physics; Anatomy; Biology","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":[0.0002112091,0.0002934912,0.0002601832,0.0002088126,0.0001371446,0.0002729076,0.0002526707,0.0002402261,0.001578714],"category_scores_gemma":[0.0002899396,0.0001061233,0.0002133494,0.0001137263,0.0003028053,0.0004149622,0.0004233996,0.0001548327,0.0002766918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006926977,"about_ca_system_score_gemma":0.0001266742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001246538,"about_ca_topic_score_gemma":0.0002009128,"domain_scores_codex":[0.9999133,0.00001538769,0.00001010574,0.00002242619,0.00002748914,0.00001116315],"domain_scores_gemma":[0.9998689,0.00004157695,0.00002811121,0.00002773333,0.00002104322,0.00001258966],"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":[0.000173498,0.0001322688,0.000707206,0.0002827685,0.00002337158,0.0001095184,0.00004019435,0.005521582,0.9613139,0.0005575021,0.0002131765,0.03092499],"study_design_scores_gemma":[0.00008263047,0.002736744,0.01280499,0.0001191341,0.00006554136,0.001136641,0.0001432194,0.128208,0.8437618,0.002642577,0.008255635,0.00004298291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.791296,0.001163119,0.2021503,0.0001863455,0.00008967976,0.0001075098,0.0001416926,0.0006917505,0.004173491],"genre_scores_gemma":[0.9902834,0.0001439429,0.008282685,0.00002475125,0.000006216279,0.00003471563,0.00003418341,0.000008094022,0.00118179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001578714,"threshold_uncertainty_score":0.005281329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391508377471411,"score_gpt":0.2383712717253632,"score_spread":0.2244561879506491,"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."}}