{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002835804,0.0001951476,0.0001980416,0.0002584971,0.0001401148,0.0004679042,0.0002652303,0.0003217422,0.002173879],"category_scores_gemma":[0.002450011,0.0002313879,0.000151823,0.0001819622,0.000564357,0.0006268262,0.0007623981,0.0002039368,0.0001787303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208235,"about_ca_system_score_gemma":0.0001718084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003023692,"about_ca_topic_score_gemma":0.0005339811,"domain_scores_codex":[0.9997044,0.00005154465,0.00001061839,0.00004207184,0.0001628809,0.00002846026],"domain_scores_gemma":[0.998826,0.0007815057,0.00015582,0.0001366913,0.00006530163,0.00003466576],"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":[0.0002590909,0.00003178945,0.001734603,0.00009978342,0.00001027717,0.0002552152,0.0003191769,0.002868096,0.8905479,0.001358174,0.0002499864,0.1022658],"study_design_scores_gemma":[0.0001140051,0.0009192543,0.08319946,0.00006657976,0.0000436096,0.004625461,0.000375197,0.1701557,0.7209413,0.01096336,0.008400297,0.0001956993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7509228,0.0004210011,0.2417157,0.0001827899,0.00002960815,0.00006036584,0.00008799099,0.0009647644,0.005614968],"genre_scores_gemma":[0.9665896,0.0001328089,0.03220199,0.00003951986,0.00001225145,0.00002144324,0.00003190199,0.00006327766,0.0009071634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002173879,"threshold_uncertainty_score":0.007272303,"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."}}