{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000669517,0.0001135205,0.0001749601,0.00002838278,0.00004285451,0.00004608516,0.0001061085,0.0000521268,0.00001538609],"category_scores_gemma":[0.00001234335,0.0001109785,0.00002724399,0.0002147983,0.00001487312,0.00005478545,0.00002402363,0.0001134202,0.00003133419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007612695,"about_ca_system_score_gemma":0.00001939779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008770387,"about_ca_topic_score_gemma":0.000001120407,"domain_scores_codex":[0.9992725,0.000009148465,0.000246952,0.0001661048,0.00007793252,0.0002273921],"domain_scores_gemma":[0.9997106,0.00003968416,0.00001748177,0.0001177671,0.00003293166,0.00008157673],"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":[0.000009293197,0.00001882496,0.0001593241,0.000117943,0.00001422912,0.000001709403,0.0001517902,0.9868748,0.01182056,0.0004549737,0.0002601108,0.0001164565],"study_design_scores_gemma":[0.0003249009,0.00003749705,0.0000716641,0.00006922067,0.00001069159,0.000004453415,0.0000344523,0.9865928,0.004331637,0.000002409784,0.008379764,0.0001404531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4159314,0.0005258863,0.5816905,0.0003801828,0.0002098193,0.0006836295,0.000007142184,0.0001652843,0.0004060725],"genre_scores_gemma":[0.9940728,0.00007917854,0.005576413,0.00002305625,0.00008227717,0.00007588785,0.000007905995,0.00002782692,0.00005464324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5781414,"threshold_uncertainty_score":0.4525573,"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."}}