{"id":"W3127964809","doi":"10.3389/frobt.2020.630245","title":"How to Model Tendon-Driven Continuum Robots and Benchmark Modelling Performance","year":2021,"lang":"en","type":"article","venue":"Frontiers in Robotics and AI","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":193,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Robot; Computation; Benchmark (surveying); Kinematics; Artificial intelligence; Simulation; Algorithm; Physics; Classical mechanics","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":[0.0007200344,0.0006097284,0.0005743752,0.0004624967,0.0004251745,0.001256625,0.001077007,0.001438384,0.002601547],"category_scores_gemma":[0.002223194,0.000308254,0.0007134696,0.0004368296,0.0005579144,0.001045903,0.0007170519,0.0008553948,0.0009861684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003941467,"about_ca_system_score_gemma":0.0006191948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001922622,"about_ca_topic_score_gemma":0.001344046,"domain_scores_codex":[0.9996243,0.00009753268,0.00003002733,0.0000523245,0.0001639848,0.00003188115],"domain_scores_gemma":[0.9994235,0.0002573768,0.00007725936,0.0001113991,0.0001023784,0.00002818207],"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":[0.00003656802,0.00004122191,0.0005024482,0.0003681825,0.0000177104,0.0000920917,0.00007520579,0.957292,0.006549462,0.01472622,0.0007012702,0.01959755],"study_design_scores_gemma":[0.0000107314,0.00006575307,0.0002464362,0.0001173222,0.00001239801,0.00008017092,0.00004522984,0.9826301,0.003600385,0.008332599,0.004838519,0.00002047077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06616545,0.002329488,0.9065068,0.0006900082,0.0001513048,0.0001846329,0.0007813972,0.0008858558,0.02230499],"genre_scores_gemma":[0.6729321,0.003073521,0.3173683,0.0001315475,0.00005858143,0.0005944616,0.001009736,0.000324623,0.004507138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002601547,"threshold_uncertainty_score":0.008702993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006153991397039,"score_gpt":0.193095538782913,"score_spread":0.1830339988689426,"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."}}