{"id":"W2137057176","doi":"10.1145/1753326.1753663","title":"The design and evaluation of multitouch marking menus","year":2010,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Computer science; Human–computer interaction; Set (abstract data type); Gesture; Modalities; Multimedia; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002369102,0.0006051369,0.0005735617,0.0009773094,0.0002561434,0.0008185885,0.001068837,0.001007353,0.002569313],"category_scores_gemma":[0.01162265,0.0003343474,0.0003651889,0.0004338018,0.0002949532,0.001185393,0.0009422092,0.0002873016,0.0003660734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002701369,"about_ca_system_score_gemma":0.0003487783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002967363,"about_ca_topic_score_gemma":0.0004611704,"domain_scores_codex":[0.9978765,0.0007370152,0.0002627067,0.0002412392,0.0007629892,0.0001195665],"domain_scores_gemma":[0.9911573,0.004809122,0.0005944612,0.0009636726,0.001916352,0.0005591363],"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":[0.003235615,0.001052895,0.009266387,0.002420292,0.0001126001,0.0008071006,0.001658827,0.009020397,0.5930398,0.001041681,0.0009477329,0.3773967],"study_design_scores_gemma":[0.0008999036,0.02207249,0.1047488,0.0004426562,0.0004815103,0.00500527,0.001584264,0.1633798,0.6760368,0.001154292,0.023811,0.0003832109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7812759,0.0006209991,0.212665,0.00009152909,0.00009239029,0.001062219,0.0002051313,0.002155498,0.001831357],"genre_scores_gemma":[0.7269784,0.0002201502,0.2699201,0.00006534638,0.00001786924,0.000493321,0.0002166245,0.0002261406,0.001862161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002569313,"threshold_uncertainty_score":0.01252919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154960268724766,"score_gpt":0.3068228779880032,"score_spread":0.2752732753007555,"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."}}