{"id":"W2066438743","doi":"10.1007/s00371-006-0031-5","title":"A vibrotactile approach to tactile rendering","year":2006,"lang":"en","type":"article","venue":"The Visual Computer","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universität Hamburg; European Commission; University of Exeter; Ryerson University","keywords":"Rendering (computer graphics); Computer science; Superposition principle; Computer graphics (images); Computer graphics; Computer vision; Artificial intelligence; Population; Fractal; Vibration; Acoustics; Mathematics; Physics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003518647,0.0001386694,0.0001191935,0.00008558339,0.000302182,0.0001583242,0.0002842523,0.00003445574,0.00007104693],"category_scores_gemma":[0.00002210544,0.00009846738,0.0000761102,0.000297009,0.00003585044,0.000187153,0.0001283285,0.0002098155,0.0006185755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003576964,"about_ca_system_score_gemma":0.00001208918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001264251,"about_ca_topic_score_gemma":0.000005355975,"domain_scores_codex":[0.9988955,0.00009615791,0.0001694698,0.0003370135,0.0002117673,0.0002900556],"domain_scores_gemma":[0.9993493,0.0002208634,0.00005085034,0.0002971691,0.00001946936,0.00006233089],"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":[0.0001308552,0.0009483669,0.0001263742,0.00001454053,0.00001584991,0.00002614717,0.001343179,0.0130265,0.8670458,0.01111635,0.09468375,0.01152232],"study_design_scores_gemma":[0.0003864405,0.0002727024,0.002866179,0.00002038886,0.0000182241,0.0003098167,0.0001361616,0.0800378,0.6174684,0.0004405271,0.2975358,0.0005076027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8596804,0.000002054968,0.04866869,0.0004995635,0.0008401336,0.000357355,0.000006949263,0.0003005233,0.0896444],"genre_scores_gemma":[0.9937097,5.459043e-7,0.001038718,0.001704411,0.0007615928,0.0000292148,0.000001761376,0.00002214216,0.00273193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2495774,"threshold_uncertainty_score":0.7950743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03984524336373588,"score_gpt":0.2931495459660096,"score_spread":0.2533043026022737,"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."}}