{"id":"W4221036525","doi":"10.1115/1.4053405","title":"Model-Based Design and Optimization of Passive Shoulder Exoskeletons","year":2022,"lang":"en","type":"article","venue":"Journal of Computational and Nonlinear Dynamics","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canada Research Chairs","keywords":"Exoskeleton; Torque; Kinematics; Multibody system; Mechanism (biology); Kinematic chain; Computer science; Work (physics); Control theory (sociology); Engineering; Simulation; Control engineering; Artificial intelligence; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005568864,0.000731125,0.0007731782,0.0003918893,0.00025283,0.0007776468,0.0005708889,0.0008007677,0.002308354],"category_scores_gemma":[0.0008938965,0.0005661403,0.0006089186,0.0001911932,0.0004904208,0.0004567269,0.0007241129,0.0003855081,0.0003915566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002811747,"about_ca_system_score_gemma":0.0006987137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416264,"about_ca_topic_score_gemma":0.001194792,"domain_scores_codex":[0.999792,0.00006674489,0.00001284724,0.000041467,0.00006497696,0.00002189657],"domain_scores_gemma":[0.999741,0.0001138623,0.00004951885,0.00002196981,0.00006065765,0.00001289216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002766727,0.0000221664,0.0001043313,0.00007163911,0.00001438159,0.00003294395,0.00001904147,0.989115,0.003830852,0.001219623,0.0001158985,0.005426486],"study_design_scores_gemma":[0.000008515091,0.00004665767,0.0000726069,0.000006042891,0.000005306396,0.000006944733,0.000007042247,0.9986128,0.0004448062,0.000393869,0.0003931967,0.000002211902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03805856,0.0002617752,0.9531451,0.0001271606,0.0000362667,0.0001289585,0.00007383971,0.0003607874,0.007807586],"genre_scores_gemma":[0.9164302,0.0003016311,0.07698605,0.00004495857,0.00001598359,0.0004463987,0.00009458182,0.00006784283,0.00561234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002308354,"threshold_uncertainty_score":0.007722139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001751196139977,"score_gpt":0.2265605903169295,"score_spread":0.2165430783555297,"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."}}