{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002031117,0.0002991983,0.0003070282,0.0001435971,0.0006390257,0.00004139645,0.0003018751,0.00009463942,0.003761416],"category_scores_gemma":[4.850187e-7,0.0003049855,0.0004583069,0.0003113158,0.00003044891,0.00008145446,0.000005350081,0.0006617785,0.00003558301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115718,"about_ca_system_score_gemma":0.0002016341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002836618,"about_ca_topic_score_gemma":0.000003580316,"domain_scores_codex":[0.9982781,0.00005956697,0.0003433304,0.0004625824,0.0003238152,0.0005326277],"domain_scores_gemma":[0.9992111,0.0001282997,0.00008676974,0.0003521452,0.00005398522,0.0001676777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001657123,0.006048947,0.00002371159,0.0001291548,0.0004246029,0.00001454238,0.001558899,0.6941692,0.07216181,0.02926922,0.00600439,0.1885384],"study_design_scores_gemma":[0.01238592,0.003101702,0.00001304963,0.0000653557,0.0006259014,0.0000761827,0.001374332,0.06643788,0.04016763,0.004244304,0.8698423,0.00166542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008848957,0.0003087507,0.9866174,0.0008420824,0.0009695546,0.0007463337,0.0009140873,0.00008725501,0.0006656096],"genre_scores_gemma":[0.9650626,0.00003634714,0.02410952,0.000160007,0.0002721134,0.0003068504,0.0001752619,0.0001158972,0.009761384],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9625078,"threshold_uncertainty_score":0.9999402,"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."}}