{"id":"W2294226227","doi":"10.1145/985692.985754","title":"Pressure widgets","year":2004,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":312,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stylus; Computer science; Human–computer interaction; Set (abstract data type); Interface (matter); User interface; Selection (genetic algorithm); Artificial intelligence; Computer vision; Programming language; Operating system","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":[0.0005964729,0.001242352,0.0005362846,0.0007440948,0.0004989882,0.001888587,0.001603547,0.001063403,0.02781539],"category_scores_gemma":[0.004481853,0.0005378664,0.0005195824,0.0005926721,0.0003579492,0.002604892,0.002179056,0.0007162133,0.00508327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001275682,"about_ca_system_score_gemma":0.0001666741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001746987,"about_ca_topic_score_gemma":0.0001708029,"domain_scores_codex":[0.9994032,0.00009146877,0.00005359269,0.000102934,0.0002774278,0.0000713314],"domain_scores_gemma":[0.9988186,0.0005344059,0.00008765869,0.0002465965,0.0002194273,0.00009326878],"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":[0.001294593,0.0002821356,0.002359646,0.002395585,0.00007055831,0.0008137116,0.00209627,0.002905249,0.1589694,0.07566389,0.02933753,0.7238113],"study_design_scores_gemma":[0.0003161733,0.00316178,0.01065177,0.0007118005,0.0003022548,0.007886577,0.001207605,0.03942731,0.1406732,0.04857112,0.7467119,0.0003785095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07119283,0.002506499,0.8399507,0.0004838376,0.0005572334,0.001136162,0.001761473,0.02507242,0.0573389],"genre_scores_gemma":[0.4904946,0.00251599,0.4479998,0.001023693,0.0002406647,0.001742847,0.002040101,0.001282816,0.05265945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02781539,"threshold_uncertainty_score":0.09305179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00719561599316593,"score_gpt":0.2340360138512881,"score_spread":0.2268403978581222,"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."}}