{"id":"W4391098341","doi":"10.3390/biomimetics9010059","title":"Design Optimization of a Hybrid-Driven Soft Surgical Robot with Biomimetic Constraints","year":2024,"lang":"en","type":"article","venue":"Biomimetics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"Concordia University; Fonds de recherche du Québec – Nature et technologies; Institution of Civil Engineers; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Robot; Finite element method; Simulation; Engineering; Mechanical engineering; Bending; Computer science; Structural engineering; Artificial intelligence","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":[0.0006027814,0.0008540175,0.0006099525,0.000532905,0.0002397058,0.0007168193,0.0006980175,0.001050742,0.001651494],"category_scores_gemma":[0.0008859386,0.0005134167,0.000655147,0.00020735,0.0005259344,0.0003543448,0.0008252642,0.0003708275,0.0003948827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003198171,"about_ca_system_score_gemma":0.0009580206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073741,"about_ca_topic_score_gemma":0.0008916669,"domain_scores_codex":[0.9996093,0.00006976014,0.00001845932,0.0000965264,0.0001558116,0.00005008573],"domain_scores_gemma":[0.9995674,0.0001854073,0.00009829617,0.00003089887,0.00008772241,0.00003022108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005895162,0.00003334053,0.0004151736,0.0001609595,0.00002188933,0.0001164147,0.00003832753,0.9600028,0.02317635,0.001347328,0.0001180997,0.01451026],"study_design_scores_gemma":[0.00001592549,0.0002382732,0.0003609899,0.00001199985,0.00001809607,0.00004793761,0.00002462368,0.9939578,0.003842853,0.0005132431,0.0009571627,0.00001112427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1033341,0.000367915,0.8886011,0.0001141419,0.00003751934,0.0001675242,0.00008351471,0.0003641335,0.006930034],"genre_scores_gemma":[0.8350151,0.0002555387,0.1603353,0.00006533108,0.00001200409,0.0005768908,0.0001155555,0.00006300848,0.003561188],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001651494,"threshold_uncertainty_score":0.005524814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169991336808425,"score_gpt":0.2262964797855057,"score_spread":0.2092973461046632,"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."}}