{"id":"W2097961592","doi":"10.1109/whc.2005.19","title":"A Study on Design and Analysis of Virtual Fixtures for Cutting in Training Environments","year":2005,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Task (project management); Human–computer interaction; Set (abstract data type); Virtual training; Haptic technology; Path (computing); Virtual machine; Virtual reality; Task analysis; Simulation; Engineering; Systems engineering; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001688574,0.00004751774,0.0001310053,0.0001384648,0.00001133531,0.000008003595,0.00002172613,0.00001766288,0.00001860533],"category_scores_gemma":[0.00001123145,0.00004190501,0.00001812356,0.00008082767,0.000003605097,0.00002840242,0.000002743522,0.00002048996,8.942192e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001391962,"about_ca_system_score_gemma":0.00000143571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003814675,"about_ca_topic_score_gemma":0.00003306613,"domain_scores_codex":[0.9996513,0.00001527833,0.0001490778,0.00006845866,0.00005384835,0.00006202259],"domain_scores_gemma":[0.9998379,0.00008627453,0.00001064683,0.00004846926,0.000001552954,0.00001519667],"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":[0.000009422697,0.00006734981,0.007218486,0.000003691561,0.0003214135,5.634729e-7,0.01857026,0.9460224,0.003905194,0.0002784485,0.000029504,0.02357328],"study_design_scores_gemma":[0.0006829345,0.0001522853,0.04454357,0.000006752914,0.00008084817,2.593758e-7,0.007574185,0.9452899,0.001413436,0.000001475315,0.0001736315,0.00008079221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8741936,0.00001656586,0.1250953,0.000007731978,0.00001294466,0.0002221304,0.000001332086,0.00001771851,0.0004326359],"genre_scores_gemma":[0.9972128,0.000001334272,0.002634066,0.00001638092,0.00001336786,0.00002286693,0.000001183414,0.000005444965,0.00009258242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1230191,"threshold_uncertainty_score":0.1708837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04578686063827141,"score_gpt":0.2625134227400912,"score_spread":0.2167265621018198,"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."}}