{"id":"W3027247183","doi":"10.1017/s0263574720000326","title":"Using a Redundant User Interface in Teleoperated Surgical Systems for Task Performance Enhancement","year":2020,"lang":"en","type":"article","venue":"Robotica","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta; California HIV/AIDS Research Program","keywords":"Teleoperation; Robot; Kinematics; Workspace; Master/slave; Task (project management); Computer science; Simulation; Control engineering; Robot control; Control theory (sociology); Engineering; Mobile robot; Artificial intelligence; Control (management)","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":[0.0004361344,0.0004635075,0.000238774,0.0003415634,0.0001812174,0.0004558949,0.0004722668,0.0003416582,0.002227307],"category_scores_gemma":[0.0008123047,0.0001404733,0.0002178084,0.0001170883,0.0003530318,0.0005002524,0.0005566579,0.0002507004,0.0003807135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001373164,"about_ca_system_score_gemma":0.0001941633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002117052,"about_ca_topic_score_gemma":0.0002157442,"domain_scores_codex":[0.9996315,0.0001096158,0.00003036296,0.00005271506,0.000153612,0.00002208487],"domain_scores_gemma":[0.9995425,0.0001381974,0.00009303369,0.00008732608,0.0001130369,0.00002583935],"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":[0.0004477535,0.0001410784,0.00109677,0.0003474594,0.00005232183,0.0004501986,0.0003758407,0.03837373,0.7602372,0.007474625,0.001012813,0.1899901],"study_design_scores_gemma":[0.00007273855,0.00168879,0.004660218,0.00008176547,0.00007221876,0.001052233,0.0001006808,0.7814373,0.1969962,0.004465092,0.009286689,0.00008599171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1383167,0.00036443,0.8553624,0.0001157875,0.00006851315,0.00008111864,0.0000213299,0.0008982548,0.004771583],"genre_scores_gemma":[0.9121906,0.0001065412,0.08551619,0.00006249294,0.00002516011,0.00008423134,0.00002290194,0.00004086811,0.001950988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002227307,"threshold_uncertainty_score":0.007451057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04183210593980503,"score_gpt":0.272744095910404,"score_spread":0.230911989970599,"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."}}