{"id":"W2913653683","doi":"10.1109/lra.2019.2894504","title":"Cable-Less, Magnetically Driven Forceps for Minimally Invasive Surgery","year":2019,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Invasive surgery; Surgical robot; Forceps; Robot end effector; Decoupling (probability); Magnet; Surgical instrument; Deflection (physics); Robot; Computer science; Wrist; Electromagnetic coil; Simulation; Biomedical engineering; Engineering; Mechanical engineering; Control engineering; Physics; Surgery; Artificial intelligence; Electrical engineering","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":[0.0001160169,0.0001845761,0.0002835182,0.00008543782,0.0001030132,0.0001089145,0.00009967975,0.00005376921,0.0001161177],"category_scores_gemma":[0.000008662605,0.0001813942,0.0001292756,0.0000887151,0.00004768744,0.0001489353,0.00002459554,0.00008177543,0.00005506286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000190973,"about_ca_system_score_gemma":0.00007494371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002263121,"about_ca_topic_score_gemma":0.000003271844,"domain_scores_codex":[0.9989519,0.00002612142,0.0003169694,0.0002670138,0.0001273585,0.0003106365],"domain_scores_gemma":[0.9991286,0.000375959,0.0001501932,0.0001844519,0.00007346539,0.00008735235],"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":[0.00008641854,0.0002883703,0.1637556,0.0007250612,0.000391497,0.000007276501,0.0008048492,0.3502796,0.3426619,0.03243262,0.09462217,0.01394469],"study_design_scores_gemma":[0.009624203,0.0007421389,0.07032772,0.001116271,0.0008687413,0.00002337477,0.001347732,0.8239903,0.06195041,0.007723799,0.01749845,0.004786821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8700864,0.00002288799,0.1253215,0.002831079,0.0006035357,0.0005786526,0.00004797552,0.00005489444,0.000453134],"genre_scores_gemma":[0.9805781,0.000009140403,0.01744203,0.0009975093,0.0002767452,0.00002533221,0.0001090977,0.00003410462,0.0005279414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4737107,"threshold_uncertainty_score":0.7397042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124960780000152,"score_gpt":0.2135245937411545,"score_spread":0.202274985941153,"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."}}