{"id":"W4310191023","doi":"10.3389/frobt.2022.1063987","title":"A rolled-up-based fabrication method of 3D helical microrobots","year":2022,"lang":"en","type":"article","venue":"Frontiers in Robotics and AI","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Shenzhen Peacock Plan; Science, Technology and Innovation Commission of Shenzhen Municipality; Southern University of Science and Technology; Department of Education of Guangdong Province","keywords":"Computer science; Fabrication; Artificial intelligence","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":[0.0002481998,0.0001341758,0.0003101095,0.0001530112,0.0001240991,0.00001758192,0.0001558511,0.00003454342,0.0001110092],"category_scores_gemma":[0.000005980334,0.000140934,0.0000743835,0.0002855024,0.00004618013,0.00003771133,0.0001042973,0.0002404583,0.0000010791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003783488,"about_ca_system_score_gemma":0.00008718667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007001557,"about_ca_topic_score_gemma":9.902456e-7,"domain_scores_codex":[0.9989766,0.000114911,0.0003038663,0.0002400764,0.0001461655,0.0002183783],"domain_scores_gemma":[0.999528,0.00004399756,0.0001258036,0.000196323,0.00004763101,0.00005826969],"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":[0.0001619787,0.0006833454,0.2026297,0.00007023843,0.0001242259,0.000003627777,0.0005810139,0.6897936,0.003272021,0.008802502,0.04285046,0.0510272],"study_design_scores_gemma":[0.007392538,0.0004509812,0.007981738,0.0000756597,0.0002422431,0.000005347904,0.001689177,0.9279665,0.009482565,0.01683632,0.02681139,0.001065474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003850091,0.0003424088,0.9938119,0.0007046384,0.0006247848,0.0002106468,0.00004773051,0.00001028181,0.0003975196],"genre_scores_gemma":[0.6681238,0.0000127426,0.330521,0.0003757315,0.00009786362,0.00003438982,0.00008904927,0.00002871609,0.0007166033],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6642737,"threshold_uncertainty_score":0.574712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008319957102760994,"score_gpt":0.2537729198463168,"score_spread":0.2454529627435559,"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."}}