{"id":"W2915900135","doi":"10.1109/tmech.2019.2900001","title":"A Motion Transmission Model for a Class of Tendon-Based Mechanisms With Application to Position Tracking of the da Vinci Instrument","year":2019,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Pulley; Displacement (psychology); Kinematics; Position (finance); Control theory (sociology); Nonlinear system; Hysteresis; Trajectory; Tendon; Tracking (education); Angular displacement; Simulation; Transmission (telecommunications); Motion (physics); Engineering; Computer science; Physics; Acoustics; Mechanical engineering; Classical mechanics; Artificial intelligence; Anatomy; Control (management)","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":[0.0002866622,0.0005030689,0.0003246116,0.0004571573,0.0002704392,0.0004396935,0.001036963,0.0009444634,0.00157591],"category_scores_gemma":[0.0004164018,0.0002427433,0.000473677,0.0002580352,0.000263401,0.0004961371,0.0003038012,0.0004782109,0.0003834014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002991143,"about_ca_system_score_gemma":0.0005244311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002486239,"about_ca_topic_score_gemma":0.001448091,"domain_scores_codex":[0.9998752,0.00001867416,0.00001076081,0.00002914601,0.00005438202,0.00001190193],"domain_scores_gemma":[0.9998788,0.00003529197,0.00003668878,0.00001261804,0.00003225485,0.000004301591],"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":[0.00006631272,0.00005659924,0.0008186354,0.000230481,0.0000244605,0.0003510676,0.0001864322,0.8938924,0.04691832,0.02245497,0.0007989838,0.03420134],"study_design_scores_gemma":[0.000005866244,0.00005570575,0.0002280695,0.000007395817,0.000006675315,0.00008424805,0.000007717057,0.9958413,0.00180214,0.0006018701,0.001352641,0.000006315236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0265761,0.0004188236,0.9679624,0.0001294296,0.00003996242,0.0000893639,0.00009114225,0.0002467035,0.004446085],"genre_scores_gemma":[0.9169344,0.0009668693,0.07026207,0.00006297677,0.00002554964,0.0003884857,0.0001736077,0.00005444159,0.01113162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002486239,"threshold_uncertainty_score":0.005271971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005584223706116862,"score_gpt":0.1905290473878844,"score_spread":0.1849448236817676,"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."}}