{"id":"W1878249965","doi":"10.1109/robot.1996.503834","title":"Haptic texturing-a stochastic approach","year":2002,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Haptic technology; Computer science; Graphical user interface; Texture (cosmology); Constraint (computer-aided design); Surface finish; Texture mapping; Computer vision; Computer graphics (images); Simulation; Image (mathematics); Engineering; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000007294651,0.00007299707,0.00006400891,0.00005786476,0.0001177897,0.00004519895,0.0001127199,0.00002523985,0.002920611],"category_scores_gemma":[0.0001599296,0.00006005625,0.00004167148,0.0001117014,0.00003594733,0.0001542881,0.00001882289,0.0001253809,0.002792553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001451231,"about_ca_system_score_gemma":0.000001979815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008564195,"about_ca_topic_score_gemma":0.000001183172,"domain_scores_codex":[0.9993814,0.00002121915,0.00009145494,0.0002197294,0.0001174603,0.0001687812],"domain_scores_gemma":[0.9995967,0.0001240493,0.00002187628,0.0001891213,0.000008059817,0.00006020615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001006402,0.0005956928,0.000009416482,0.00001067346,0.000006948914,0.00002806425,0.001253343,0.002215528,0.9628287,0.01816004,0.01095639,0.003925148],"study_design_scores_gemma":[0.0007621176,0.0001822664,0.0004673516,0.00001534612,0.0000340465,0.001027039,0.0005037468,0.8195685,0.1466366,0.0007478035,0.02932744,0.0007277369],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2244983,0.000004865561,0.02844288,0.0004505027,0.0003983655,0.0001722873,0.000003356666,0.0003315028,0.745698],"genre_scores_gemma":[0.9555691,0.000002202448,0.0001707247,0.000707918,0.00005951098,0.000009227315,1.381955e-7,0.000008746742,0.04347246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.817353,"threshold_uncertainty_score":0.9979908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08146033107212168,"score_gpt":0.2652456282589682,"score_spread":0.1837852971868466,"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."}}