{"id":"W1577704899","doi":"10.1109/whc.2015.7177722","title":"VibViz: Organizing, visualizing and navigating vibration libraries","year":2015,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Haptic technology; Computer science; Personalization; Human–computer interaction; Premise; Perception; Exploratory search; World Wide Web; Artificial intelligence","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":[0.000025522,0.00006980994,0.00006504456,0.00002672102,0.0001323433,0.0002379765,0.00005461783,0.00003037765,0.0001008175],"category_scores_gemma":[0.0006025244,0.00006133266,0.00001198388,0.0001439608,0.0000424296,0.001047783,0.00004762854,0.0001186233,0.0001040821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001225201,"about_ca_system_score_gemma":0.00002709116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003642385,"about_ca_topic_score_gemma":0.000007887737,"domain_scores_codex":[0.9994165,0.00004668894,0.0001176121,0.0001838292,0.0001176428,0.0001177839],"domain_scores_gemma":[0.9996016,0.000147056,0.00004457297,0.00009010868,0.00002432334,0.0000923387],"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":[0.000009853229,0.00002444071,0.001070358,0.000004223027,0.0000017192,0.000007370385,0.003757021,0.00001027311,0.964897,0.02720955,0.001196928,0.001811274],"study_design_scores_gemma":[0.0001491072,0.00004794344,0.0001500493,0.00001288236,0.000003413326,0.00006290348,0.002080709,0.002673388,0.984002,0.001301605,0.009413738,0.0001022773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791104,0.000008660983,0.001644264,0.0007892097,0.0002632172,0.00006510252,0.000001392773,0.0002182763,0.01789951],"genre_scores_gemma":[0.9967895,0.000005155251,0.0007764235,0.00149439,0.00008386143,0.000002369128,0.000001196959,0.00001168065,0.0008354018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02590794,"threshold_uncertainty_score":0.2501073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0878959823850061,"score_gpt":0.3288558769784659,"score_spread":0.2409598945934598,"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."}}