{"id":"W2008183491","doi":"10.1109/tim.2010.2065751","title":"IIR Filter Models of Haptic Vibration Textures","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; University of Ottawa","funders":"","keywords":"Haptic technology; Computer science; Vibration; Computer vision; Filter (signal processing); Impulse response; Acceleration; Infinite impulse response; Impulse (physics); Artificial intelligence; Virtual reality; Parametric statistics; Surface finish; Acoustics; Digital filter; Engineering; Mathematics","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":[0.00006143366,0.0001128701,0.00009853073,0.0001556347,0.0001980567,0.00004225142,0.00005885109,0.00005390968,0.0002487196],"category_scores_gemma":[0.00001332368,0.0001047863,0.00005707653,0.0001073776,0.00006777659,0.0004226476,5.68331e-7,0.0002131237,0.00001973439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003103258,"about_ca_system_score_gemma":0.00003323958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003553346,"about_ca_topic_score_gemma":0.0001652034,"domain_scores_codex":[0.9989749,0.00004755487,0.0002426161,0.0002228792,0.0003962489,0.0001157869],"domain_scores_gemma":[0.999563,0.00004646399,0.00008867144,0.0001556227,0.00007629323,0.0000699123],"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":[0.00005987349,0.0001696056,0.000003613552,0.00001021995,0.000009724213,4.378646e-7,0.0004754783,0.001329571,0.9766397,0.0009002939,0.00004014774,0.02036136],"study_design_scores_gemma":[0.0005170457,0.0001174027,0.0001015574,0.00001733817,0.00002636933,0.00001575475,0.0002052306,0.007239989,0.9908482,0.0004175096,0.0003946557,0.00009894861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.771305,0.000001821868,0.223207,0.0005077316,0.00145396,0.0003593107,0.000034738,0.0000665841,0.003063917],"genre_scores_gemma":[0.998832,0.00002707827,0.000406779,0.0004869316,0.00002185253,0.00004359508,9.478813e-7,0.00001039902,0.0001703743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2275271,"threshold_uncertainty_score":0.4273061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07441529435479273,"score_gpt":0.2781490914589413,"score_spread":0.2037337971041486,"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."}}