{"id":"W2345046720","doi":"10.1109/jmems.2016.2551222","title":"Catheter-Based Microrotary Motor Enabled by Ferrofluid for Microendoscope Applications","year":2016,"lang":"en","type":"article","venue":"Journal of Microelectromechanical Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Ferrofluid; Rotor (electric); Materials science; Levitation; Neodymium magnet; Magnet; Prism; Bearing (navigation); Substrate (aquarium); Catheter; Mechanical engineering; Optics; Computer science; Magnetic field; Physics; Engineering; Surgery; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.000444588,0.000275972,0.0005925325,0.0001275625,0.0001414339,0.00006949744,0.0005093764,0.0001018867,0.0001208173],"category_scores_gemma":[0.00001257845,0.0001847588,0.0004637429,0.0001538693,0.00003583008,0.0001210541,0.00003037091,0.0001918989,0.00003763573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001780608,"about_ca_system_score_gemma":0.0002395343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003274945,"about_ca_topic_score_gemma":6.367334e-7,"domain_scores_codex":[0.9979022,0.0001096855,0.000945164,0.0002820132,0.0001968842,0.0005640616],"domain_scores_gemma":[0.9981217,0.00029416,0.0006891172,0.0003032984,0.0003523457,0.0002393667],"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":[0.000160897,0.0003863371,0.0001047447,0.00004030496,0.0001732519,0.000001126088,0.000007161377,0.000002443326,0.9746226,0.0009078059,0.02184806,0.001745269],"study_design_scores_gemma":[0.003178236,0.001195848,0.000003287852,0.0001597611,0.0001371086,0.00004018051,0.0000281063,0.00006264235,0.8136214,0.0007237606,0.1805494,0.0003002546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08829647,0.001918291,0.9068153,0.0008148358,0.0004303725,0.001197685,0.0004531986,0.00002390268,0.00004994305],"genre_scores_gemma":[0.9941537,0.00003893726,0.0030854,0.0001092463,0.0009243471,0.0001550995,0.00002649388,0.00006750101,0.001439312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9058572,"threshold_uncertainty_score":0.7534243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00733877463428495,"score_gpt":0.2278868174244268,"score_spread":0.2205480427901418,"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."}}