{"id":"W4382515298","doi":"10.1002/aisy.202300093","title":"Soft Bio‐Microrobots: Toward Biomedical Applications","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"European Research Council; China Scholarship Council; European Commission","keywords":"Biomimetics; Flexibility (engineering); Creatures; Nanotechnology; Biological motion; Soft materials; Computer science; Engineering; Biochemical engineering; Human–computer interaction; Artificial intelligence; Motion (physics); Biology; Natural (archaeology); Materials science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004196311,0.0006362858,0.0003752041,0.0005469131,0.0003647255,0.001153667,0.0004116209,0.001094307,0.002398282],"category_scores_gemma":[0.000362635,0.0003559072,0.000257389,0.0003417945,0.0007226766,0.001004606,0.0006931188,0.001005923,0.001106055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004215602,"about_ca_system_score_gemma":0.0003950077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003201325,"about_ca_topic_score_gemma":0.0004974316,"domain_scores_codex":[0.9998285,0.00003492352,0.000008502617,0.0000311483,0.00007258383,0.00002443471],"domain_scores_gemma":[0.9998779,0.00004234439,0.00001468344,0.000006736394,0.00002773043,0.00003050263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001884681,0.00008667471,0.0003701478,0.00286521,0.00003144804,0.0003969694,0.0003697439,0.005250606,0.6771731,0.07956795,0.006512909,0.2271867],"study_design_scores_gemma":[0.00004851427,0.0006715351,0.000953194,0.0008815839,0.00005456432,0.001115076,0.0003765171,0.02171633,0.3089584,0.05357094,0.611548,0.0001053708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06396281,0.4674063,0.4055102,0.006236664,0.002482987,0.0002539261,0.0002474656,0.001397903,0.05250184],"genre_scores_gemma":[0.4514115,0.2357079,0.2810494,0.002859119,0.0008060009,0.0004137735,0.0002664585,0.0001681839,0.0273176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002398282,"threshold_uncertainty_score":0.008023083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201259059387522,"score_gpt":0.2884388511102048,"score_spread":0.2664262605163296,"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."}}