{"id":"W1987676305","doi":"10.1145/2207676.2208376","title":"User learning and performance with bezel menus","year":2012,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Touchscreen; Computer science; Human–computer interaction; Task (project management); Frame (networking); Mobile device; Visual attention; Multimedia; Psychology; Engineering; World Wide Web; Perception","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":[0.001006663,0.0005525719,0.0004503557,0.0007446603,0.0002877577,0.001040252,0.0004231877,0.0006432603,0.004880827],"category_scores_gemma":[0.01542216,0.0001970615,0.0003416904,0.0003087411,0.0003272693,0.001106945,0.0008120865,0.000419093,0.001598538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001898812,"about_ca_system_score_gemma":0.0001611901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381361,"about_ca_topic_score_gemma":0.001022596,"domain_scores_codex":[0.9992175,0.0001834221,0.0000930833,0.0001616945,0.000196589,0.0001478035],"domain_scores_gemma":[0.9907526,0.005317655,0.0009174141,0.0006811741,0.00118209,0.001148997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008304024,0.01183639,0.5019695,0.0007207361,0.0002232749,0.001158168,0.0185397,0.00406301,0.09256133,0.0002244179,0.001913192,0.3584864],"study_design_scores_gemma":[0.0001613582,0.02393565,0.9106546,0.00009584365,0.0001541462,0.001178849,0.004977978,0.01073252,0.04449379,0.0004440641,0.002981761,0.0001894744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986994,0.00004024053,0.0003662435,0.00001130394,0.000002719449,0.00002287994,0.00004787737,0.00005740973,0.0007519855],"genre_scores_gemma":[0.9970849,0.00007139073,0.0006969405,0.0000128811,0.000004077441,0.0000328286,0.0001202005,0.00001992865,0.001956814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004880827,"threshold_uncertainty_score":0.01632798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007474481742508816,"score_gpt":0.2282719445404184,"score_spread":0.2207974627979096,"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."}}