{"id":"W2912872569","doi":"10.1007/978-981-13-2212-9_4","title":"Cable-Driven Parallel Robot Modelling for Rehabilitation Use","year":2019,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Kinematics; Workspace; Actuator; Inverse kinematics; Computer science; Simulation; Parallel manipulator; Engineering; Exoskeleton; Robot; Control engineering; Control theory (sociology); Artificial intelligence; Physics","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":[0.0004275148,0.0003481738,0.000925813,0.0002233274,0.00008142036,0.00006725097,0.0001078366,0.0002999055,0.000003079085],"category_scores_gemma":[0.0002002822,0.0002981843,0.0001480135,0.00002790015,0.00009967214,0.00009035395,0.00003884869,0.0002005081,0.00001714712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001628259,"about_ca_system_score_gemma":0.00002418402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006738688,"about_ca_topic_score_gemma":0.00001825019,"domain_scores_codex":[0.9982699,0.00002641478,0.0008379176,0.0003771566,0.0002538411,0.0002348001],"domain_scores_gemma":[0.9959373,0.003199733,0.0001349722,0.0003401676,0.0003315659,0.00005628453],"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":[0.00006616513,0.000006438211,0.00005213465,0.0006545828,0.0001576653,0.000001735015,0.0005449087,0.9738747,0.000003975894,0.02178052,0.0015565,0.001300606],"study_design_scores_gemma":[0.002025061,0.0001854735,0.0000201373,0.001541471,0.00007648919,0.000003096311,0.0005204034,0.93241,6.629212e-8,0.007351445,0.05548175,0.0003846097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002816545,0.05015915,0.9350926,0.0001560523,0.00398956,0.004570097,0.0002018154,0.0001575914,0.005391528],"genre_scores_gemma":[0.7101918,0.02644394,0.1342732,0.0002003968,0.0007805135,0.001219561,0.00009821763,0.0006155307,0.1261768],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8008193,"threshold_uncertainty_score":0.999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05153822756519494,"score_gpt":0.2793150313992513,"score_spread":0.2277768038340564,"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."}}