{"id":"W2152753150","doi":"10.1109/3dim.2007.30","title":"Interactive Scanning of Haptic Textures and Surface Compliance","year":2007,"lang":"en","type":"article","venue":"Proceedings","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Haptic technology; Computer science; Computer graphics (images); Compliance (psychology); Artificial intelligence; Psychology","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":[0.0000535208,0.00008284468,0.00011012,0.00006075228,0.000093843,0.00003809694,0.0000900247,0.00002926781,0.00002486196],"category_scores_gemma":[0.0003715609,0.00007740487,0.00002450895,0.0001562381,0.0001017972,0.0003604091,0.00003759664,0.0001625985,0.00001558082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001978932,"about_ca_system_score_gemma":0.000006026481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002348128,"about_ca_topic_score_gemma":0.000002819329,"domain_scores_codex":[0.9993441,0.000003054917,0.0001523338,0.0002119894,0.0001189593,0.0001695551],"domain_scores_gemma":[0.9994956,0.0002062949,0.0001179576,0.00004149012,0.00008272781,0.00005587515],"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":[0.00005791597,0.00002691302,0.002889585,0.00002755514,0.00000302213,0.00000289287,0.001759845,0.00000185743,0.9917006,0.001575816,0.0002105939,0.001743424],"study_design_scores_gemma":[0.0001293911,0.00005995197,0.005244849,0.00009169659,0.000006857191,0.00008686038,0.001412343,0.001064682,0.9889207,0.0002541376,0.002632394,0.00009614481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677439,0.00001514013,0.0001332405,0.000155427,0.0001190792,0.00008436715,0.00000264113,0.00004345642,0.03170278],"genre_scores_gemma":[0.9987441,0.00001059996,0.0003333134,0.0002301405,0.00003218642,0.000001049202,1.056219e-7,0.000009105381,0.0006393785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0310634,"threshold_uncertainty_score":0.3156479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05842299455140271,"score_gpt":0.3268475072268713,"score_spread":0.2684245126754686,"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."}}