{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001324181,0.0003480877,0.0001479397,0.0002044595,0.0001707749,0.0002161338,0.000472403,0.0005053694,0.00165887],"category_scores_gemma":[0.0003218029,0.0001547327,0.0001196242,0.0001238124,0.000218952,0.0003666808,0.0002607188,0.0003096248,0.0008322781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927429,"about_ca_system_score_gemma":0.0002028825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001661889,"about_ca_topic_score_gemma":0.0003893863,"domain_scores_codex":[0.9998749,0.00001764073,0.000006222183,0.00002027409,0.00007030625,0.00001055406],"domain_scores_gemma":[0.9998277,0.00005234619,0.0000464783,0.00001521214,0.00003620203,0.00002201163],"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":[0.0001335342,0.00003525108,0.0003409534,0.0003865098,0.00001474498,0.0003735315,0.00007776119,0.001567782,0.9011774,0.003121019,0.002920795,0.08985072],"study_design_scores_gemma":[0.00010554,0.00158279,0.004435941,0.0001347224,0.00005437231,0.003716087,0.00008276435,0.03360999,0.8005068,0.003091366,0.1525601,0.0001194545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1594696,0.01075152,0.8074987,0.000976053,0.0007896015,0.0002746871,0.0003045759,0.002561142,0.01737416],"genre_scores_gemma":[0.6932225,0.003985384,0.2877341,0.0007019137,0.000233455,0.0002145864,0.0002631824,0.0001086191,0.01353629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00165887,"threshold_uncertainty_score":0.005549431,"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."}}