{"id":"W2167353611","doi":"10.1109/iros.2009.5354183","title":"Experimental performance evaluation of a haptic training simulation system","year":2009,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Haptic technology; Computer science; Trainer; Task (project management); Robot; Simulation; Virtual machine; Architecture; Human–computer interaction; Trajectory; Point (geometry); Virtual reality; Control (management); Artificial intelligence; Engineering; Operating system; Systems engineering","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":[0.000990164,0.0006311962,0.000619206,0.0004469625,0.0003687402,0.0005658102,0.0009626861,0.0008787945,0.005423362],"category_scores_gemma":[0.002903656,0.0002804959,0.000291762,0.0002571743,0.0005467549,0.0005953679,0.001082801,0.0004149084,0.0006768952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002424537,"about_ca_system_score_gemma":0.0003624553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008518164,"about_ca_topic_score_gemma":0.0004492126,"domain_scores_codex":[0.9990376,0.0002408896,0.0001182081,0.000162415,0.0002953841,0.0001454833],"domain_scores_gemma":[0.9982758,0.0006573193,0.0001397396,0.0003093547,0.0004493973,0.0001685597],"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":[0.005282577,0.001623461,0.003297762,0.0006969352,0.0001253931,0.0003686553,0.0007765347,0.0444999,0.9039252,0.0006184866,0.0006401215,0.03814502],"study_design_scores_gemma":[0.0005602597,0.01886578,0.01180101,0.00005156515,0.0001493428,0.0006689954,0.0003394535,0.1789362,0.7839448,0.0002484028,0.004310212,0.0001239274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500157,0.00007813943,0.04718957,0.00008391064,0.00005694928,0.0001678547,0.0002153183,0.000706105,0.001486371],"genre_scores_gemma":[0.9909003,0.00003892778,0.007204615,0.00002319431,0.000009195638,0.0001085366,0.0001683704,0.00003395481,0.001512915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005423362,"threshold_uncertainty_score":0.018143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06011480657900461,"score_gpt":0.2878430451476868,"score_spread":0.2277282385686822,"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."}}