{"id":"W4285236903","doi":"10.1109/tmech.2022.3184599","title":"A Novel Magnetic Transmission for Powerful Miniature Surgical Robots","year":2022,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Robot; Actuator; Transmission (telecommunications); Magnet; Displacement (psychology); USable; Millimeter; Mechanical engineering; Power transmission; Computer science; Simulation; Engineering; Electrical engineering; Materials science; Power (physics); Physics; 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":[0.0001622009,0.0003668969,0.0002033316,0.0002401645,0.0002353007,0.0002086446,0.0005962418,0.0003956553,0.001413515],"category_scores_gemma":[0.0003547181,0.0002259782,0.0001894356,0.0001512411,0.0002348436,0.0006662656,0.0002947449,0.0002969661,0.0005496133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754477,"about_ca_system_score_gemma":0.0001881484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001222093,"about_ca_topic_score_gemma":0.0002392474,"domain_scores_codex":[0.9998496,0.00001731328,0.000009046917,0.00002436992,0.00008757145,0.00001205094],"domain_scores_gemma":[0.9998251,0.00004540679,0.00006333456,0.00001827856,0.00002903774,0.00001890628],"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":[0.00006233523,0.00003379448,0.0002195119,0.0001675462,0.000008941471,0.0002927399,0.00007040755,0.001577173,0.9684578,0.001660488,0.0009058857,0.02654344],"study_design_scores_gemma":[0.0001241837,0.002304626,0.002605676,0.00007175836,0.00005625567,0.003501532,0.00007894083,0.1013286,0.8477901,0.0009815763,0.04107084,0.00008586992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4777834,0.003299741,0.5036831,0.001038127,0.0005208108,0.0002552814,0.0002021795,0.002277259,0.0109401],"genre_scores_gemma":[0.8463057,0.0009258404,0.1459782,0.0002221228,0.0001930518,0.0001365574,0.0001026488,0.00009786935,0.006037897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001413515,"threshold_uncertainty_score":0.004728734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025626175635186,"score_gpt":0.2377618897696666,"score_spread":0.2275056280133147,"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."}}