{"id":"W2155286749","doi":"10.1109/tim.2011.2161149","title":"Design of a Tactile Instrument to Measure Human Roughness Perception in a Virtual Environment","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Haptic technology; Surface finish; Actuator; Surface roughness; Tactile perception; Brush; Computer science; Computer vision; Interface (matter); Virtual reality; Rotational speed; Perception; Simulation; Artificial intelligence; Acoustics; Engineering; Materials science; Mechanical engineering; Physics","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":[0.0001873863,0.0002022221,0.0001925546,0.0003842992,0.000203344,0.00002474457,0.0001042594,0.00006730823,0.000483552],"category_scores_gemma":[0.00001048813,0.0002066238,0.00005833756,0.0002116691,0.00006331973,0.0003204939,0.000002168683,0.0001915673,0.00005717315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003822764,"about_ca_system_score_gemma":0.0000394907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002007531,"about_ca_topic_score_gemma":0.00008752135,"domain_scores_codex":[0.9980347,0.0002274122,0.0004476578,0.0004201063,0.0006455072,0.0002245959],"domain_scores_gemma":[0.9994638,0.00003147903,0.000116825,0.000212833,0.00004285471,0.000132193],"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":[0.0004100048,0.0008777107,0.00005606278,0.00001321996,0.00001649721,0.000002787806,0.006983145,0.004349012,0.9459167,0.0001054347,0.000009896498,0.04125958],"study_design_scores_gemma":[0.001379012,0.00106491,0.002303736,0.0001052948,0.00003493093,0.00001446106,0.002945423,0.0005054732,0.9912707,0.00005223803,0.00009777836,0.0002260837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.694073,0.000001249614,0.3039578,0.00009014458,0.0003490524,0.0008672076,0.00001207063,0.00003760932,0.0006118852],"genre_scores_gemma":[0.9985894,0.00003622368,0.0007325486,0.0002668178,0.00001011089,0.0002583365,6.901191e-7,0.00001889336,0.00008698928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3045164,"threshold_uncertainty_score":0.8425872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.149274247928263,"score_gpt":0.2788027607025915,"score_spread":0.1295285127743286,"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."}}