{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001428359,0.0001940169,0.0002573299,0.0001452961,0.0001331047,0.00004996905,0.0002873753,0.00006064892,0.0001915642],"category_scores_gemma":[0.000005667646,0.0001760937,0.000121672,0.0006534001,0.00007324802,0.00008614762,0.00008202711,0.0001399525,0.003825255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004479742,"about_ca_system_score_gemma":0.00005146455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006819826,"about_ca_topic_score_gemma":5.332883e-7,"domain_scores_codex":[0.9985757,0.00003076166,0.0004369821,0.0003468581,0.00019197,0.0004176773],"domain_scores_gemma":[0.9991762,0.00008884355,0.0001231207,0.0003729491,0.00007758628,0.0001612865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006398428,0.001163041,0.01876242,0.0007679086,0.0008637031,0.00002385707,0.002951898,0.04404073,0.1766545,0.2331901,0.06944837,0.4520696],"study_design_scores_gemma":[0.0002979973,0.00005367907,0.00008089072,0.00009983031,0.00003141894,0.000003585675,0.00193277,0.003510342,0.01493407,0.001681932,0.9769674,0.0004060996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004452367,0.000625954,0.9881152,0.0002358104,0.001254849,0.000916251,0.0001239007,0.0003644923,0.003911169],"genre_scores_gemma":[0.9921793,0.000086941,0.0007932357,0.00004171892,0.0007043457,0.0003150352,0.0004575193,0.00004798579,0.005373972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9877269,"threshold_uncertainty_score":0.9969504,"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."}}