{"id":"W2516576973","doi":"10.1007/978-3-319-33581-0_6","title":"Kinematic Performance Analysis of a Hybrid-Driven Waist Rehabilitation Robot","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University; York University","funders":"Xidian University; National Natural Science Foundation of China","keywords":"Kinematics; Statics; Jacobian matrix and determinant; Mechanism (biology); Workspace; Inverse kinematics; Control theory (sociology); Computer science; Parallel manipulator; Waist; Engineering; Robot; Simulation; Mathematics; Artificial intelligence; Physics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002139486,0.0004060296,0.0008748181,0.0008203854,0.00001795569,0.00001373592,0.0002324676,0.000299863,0.0001123853],"category_scores_gemma":[0.0003688479,0.0003510639,0.0003527424,0.0002551194,0.00004142266,0.00005492655,0.00005063552,0.0004780311,0.00001186961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074836,"about_ca_system_score_gemma":0.00001809442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.794883e-7,"about_ca_topic_score_gemma":0.000008494235,"domain_scores_codex":[0.9982927,0.00001059416,0.0007830408,0.0003186708,0.0003125408,0.0002824979],"domain_scores_gemma":[0.9983422,0.0008957909,0.0001104778,0.0004814411,0.00008997897,0.00008015987],"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":[0.000005222214,0.000009562154,0.00001208967,0.0007477968,0.000334639,0.000003296521,0.00006637055,0.9797992,0.004442797,0.01089817,0.000002101088,0.003678716],"study_design_scores_gemma":[0.0002154441,0.0001159718,0.00009525375,0.000891273,0.0003996165,0.000002768513,6.062814e-7,0.9914159,0.001892865,0.004262711,0.0002725894,0.0004350508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00416445,0.0004429175,0.9919291,0.0001490457,0.0004899947,0.0004470922,0.0000557732,0.0002480373,0.002073555],"genre_scores_gemma":[0.9648963,0.0001409121,0.03446741,0.00001369033,0.00006960902,0.00002636687,0.00003742448,0.000125103,0.0002231879],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9607319,"threshold_uncertainty_score":0.9998941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005453959381841567,"score_gpt":0.1948120674772976,"score_spread":0.1893581080954561,"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."}}