{"id":"W4319988692","doi":"10.1109/tmrb.2023.3239674","title":"ASAP: A Semi-Autonomous Precise System for Telesurgery During Communication Delays","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Robotics and Bionics","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre","funders":"","keywords":"Computer science; Jitter; Robot; Robustness (evolution); Simulation; Latency (audio); Debridement (dental); Real-time computing; Artificial intelligence; Human–computer interaction; Surgery","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":[0.000374652,0.0007358137,0.0006324008,0.0003367974,0.0003146086,0.0004190435,0.001811064,0.0007527927,0.006417802],"category_scores_gemma":[0.001182159,0.0003304771,0.0003528535,0.0001398838,0.0003883083,0.0006138164,0.001273728,0.0008147776,0.002494463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762406,"about_ca_system_score_gemma":0.001203159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545477,"about_ca_topic_score_gemma":0.00159143,"domain_scores_codex":[0.9996867,0.00003714171,0.00002038745,0.00008061224,0.0001292542,0.00004591982],"domain_scores_gemma":[0.9995773,0.00008742361,0.00005720159,0.00007976365,0.0001157026,0.00008261984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001921804,0.0005171056,0.003737455,0.0006576405,0.0001293384,0.0009966255,0.0004612577,0.09560777,0.3570897,0.004142832,0.02113082,0.5136076],"study_design_scores_gemma":[0.0003315022,0.002117352,0.006083929,0.00005898807,0.0001179796,0.001047561,0.0001048316,0.8551538,0.09017912,0.003996286,0.04066848,0.0001401499],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06428696,0.0002819378,0.8920878,0.0002309124,0.0003245019,0.0003725362,0.0003688682,0.03847124,0.003575247],"genre_scores_gemma":[0.8063189,0.0002151726,0.1821361,0.0003324297,0.0001061404,0.0006163126,0.0007071026,0.0004903243,0.009077628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006417802,"threshold_uncertainty_score":0.02146971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366285663204274,"score_gpt":0.2946606459675217,"score_spread":0.260997789335479,"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."}}