{"id":"W4320726951","doi":"10.34133/cbsystems.0015","title":"Ultrafast Miniature Robotic Swimmers with Upstream Motility","year":2023,"lang":"en","type":"article","venue":"Cyborg and Bionic Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Chinese University of Hong Kong; National Natural Science Foundation of China","keywords":"Fluidics; Robot; Upstream (networking); Imaging phantom; Agile software development; Propulsion; Simulation; Mechanical engineering; Marine engineering; Computer science; Aerospace engineering; Engineering; Acoustics; Physics; Artificial intelligence; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001298952,0.0001652865,0.0002269981,0.0000548229,0.0001345402,0.00006979304,0.00009424125,0.00005964679,0.0000328533],"category_scores_gemma":[0.000001990506,0.000114222,0.00004884887,0.0003244343,0.00006286874,0.00005202526,0.00002561317,0.0001122544,0.0001036717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001351821,"about_ca_system_score_gemma":0.00005290809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000224097,"about_ca_topic_score_gemma":0.000006152158,"domain_scores_codex":[0.9991148,0.00003706365,0.0001728765,0.0002687188,0.0001157636,0.0002907574],"domain_scores_gemma":[0.9995134,0.00004227843,0.00007191431,0.0002281485,0.00004001564,0.0001041863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007729267,0.0003331485,0.9554307,0.0004563838,0.0006284567,0.0000316506,0.001823553,0.004501058,0.009275946,0.008545659,0.0100877,0.008808438],"study_design_scores_gemma":[0.01492476,0.002144636,0.7415125,0.003327052,0.001409937,0.000270989,0.06539903,0.03479683,0.04225114,0.001134971,0.08738795,0.005440179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956011,0.0002965912,0.0006340426,0.0001830659,0.0004469061,0.0002715997,0.00005064715,0.00009520359,0.002420841],"genre_scores_gemma":[0.9965051,0.0000182687,0.00002115852,0.00001109068,0.0002747253,0.00001105075,0.00008239585,0.00001651592,0.003059721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2139182,"threshold_uncertainty_score":0.4657837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008753721641983379,"score_gpt":0.2124599890441393,"score_spread":0.203706267402156,"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."}}