{"id":"W4385284856","doi":"10.32920/23786505.v1","title":"Deep Direct Visual Servoing of Tendon-Driven Continuum Robots","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual servoing; Robot; Artificial intelligence; Robustness (evolution); Computer science; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006985282,0.0002035875,0.0003550049,0.0001055943,0.00002707439,0.00003366717,0.0002449856,0.0001804463,0.0000501051],"category_scores_gemma":[0.00002222512,0.0002087937,0.0001373312,0.0001453475,0.00002098881,0.00002033093,0.0003074002,0.0002748235,0.00009832157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003667805,"about_ca_system_score_gemma":0.00001824116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009032875,"about_ca_topic_score_gemma":0.000222972,"domain_scores_codex":[0.9990756,0.000008787434,0.0003277137,0.0002472395,0.0001326881,0.0002079801],"domain_scores_gemma":[0.9993353,0.0001209363,0.00006097992,0.0003591027,0.00006156459,0.0000621425],"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":[6.539477e-7,0.00001923112,0.001033854,0.0002400451,0.0001262414,0.000002020079,0.00008733661,0.9924809,0.003032384,0.0003224672,0.002011969,0.0006429382],"study_design_scores_gemma":[0.0001609553,0.00001082131,0.007869341,0.000191547,0.00007558575,0.000001117973,0.00005803915,0.9800586,0.009516843,0.0009704111,0.0006726999,0.0004140954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09826531,0.0006636978,0.8253046,0.000394537,0.0029103,0.001477603,0.00008932612,0.005091263,0.06580333],"genre_scores_gemma":[0.9809017,0.0001867697,0.01699766,0.00001250832,0.0002007248,0.0001347775,0.0001169089,0.0001129259,0.00133608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8826364,"threshold_uncertainty_score":0.8514362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217600841633661,"score_gpt":0.2621996207614471,"score_spread":0.240439536598081,"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."}}