{"id":"W2968894207","doi":"10.1109/icra.2019.8793564","title":"Tetherless Mobile Micro-Surgical Scissors Using Magnetic Actuation","year":2019,"lang":"en","type":"article","venue":"","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electromagnetic coil; Wireless; Magnet; Computer science; Scalability; Mobile device; Magnetic flux; Surgical robot; Mechanical engineering; Simulation; Engineering; Computer hardware; Electrical engineering; Magnetic field; Robot; Artificial intelligence; Physics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002782649,0.0005542767,0.0003271361,0.0003103888,0.0002556299,0.0004356424,0.0009310091,0.0007911586,0.001750623],"category_scores_gemma":[0.0004266835,0.0003143627,0.0004240622,0.0001651338,0.0006015007,0.0007122165,0.000693314,0.0004756793,0.0008524825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000273447,"about_ca_system_score_gemma":0.0003690108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004125666,"about_ca_topic_score_gemma":0.0006936768,"domain_scores_codex":[0.9995875,0.00003077074,0.00002004036,0.00007534093,0.0002354715,0.00005098347],"domain_scores_gemma":[0.9996181,0.00007593112,0.0001261831,0.00006947168,0.0000521943,0.00005807622],"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":[0.00006549201,0.00002363987,0.0002270197,0.0001888457,0.0000157685,0.0002000555,0.00006157735,0.0008407325,0.9742086,0.001398118,0.0004855468,0.02228462],"study_design_scores_gemma":[0.00008542513,0.001917033,0.00423133,0.00005900085,0.00004702863,0.002134438,0.0000833381,0.01577703,0.9236414,0.0008074106,0.05110202,0.0001145802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3816276,0.005829718,0.5901885,0.0007775787,0.0006872416,0.0005796949,0.0004457553,0.004019536,0.01584445],"genre_scores_gemma":[0.7401012,0.001799796,0.2445078,0.0003344894,0.0001627276,0.0003175785,0.0002572901,0.00007500021,0.01244403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001750623,"threshold_uncertainty_score":0.005856395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008366716876977253,"score_gpt":0.2488138804408288,"score_spread":0.2404471635638516,"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."}}