{"id":"W2042346957","doi":"10.1145/1622176.1622198","title":"SemFeel","year":2009,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Samsung","keywords":"Computer science; Mobile device; Human–computer interaction; Object (grammar); Haptic technology; Vibration; Computer vision; Artificial intelligence; Acoustics; World Wide Web","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":[0.0003882757,0.0007045634,0.0003888,0.0009997108,0.0006545095,0.0008755628,0.000957939,0.001222368,0.07074956],"category_scores_gemma":[0.001180179,0.0003291147,0.0004315739,0.0004507053,0.0003457712,0.00137476,0.0008413639,0.0006217634,0.02041384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002282711,"about_ca_system_score_gemma":0.0003610112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004682031,"about_ca_topic_score_gemma":0.0008013739,"domain_scores_codex":[0.9995816,0.0000202601,0.00002107704,0.00008913434,0.000250096,0.00003771904],"domain_scores_gemma":[0.9994339,0.0001439882,0.0000581958,0.0001074069,0.0001955647,0.00006098652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007456996,0.0001739387,0.00144127,0.001215993,0.00005718859,0.001255257,0.0002549393,0.002063422,0.3919092,0.01341875,0.06125002,0.5262144],"study_design_scores_gemma":[0.00009188912,0.0004448318,0.001915939,0.0001262413,0.00004323542,0.003479782,0.0000931266,0.008199695,0.3316136,0.002374799,0.6515387,0.00007806855],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1673429,0.008512752,0.3782725,0.001956866,0.002664527,0.0006096936,0.006716452,0.05532202,0.3786023],"genre_scores_gemma":[0.4114316,0.002862337,0.2046347,0.001424634,0.0002081065,0.0004342598,0.007290294,0.003512321,0.3682017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07074956,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04861898851455935,"score_gpt":0.3087589691230594,"score_spread":0.2601399806085001,"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."}}