{"id":"W2152139667","doi":"10.1145/1124772.1124933","title":"Zone and polygon menus","year":2006,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Polygon (computer graphics); Orientation (vector space); Computer science; Selection (genetic algorithm); Position (finance); Status quo; Human–computer interaction; Artificial intelligence; Mathematics; Telecommunications; Business; Geometry","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":[0.00002409758,0.00003749685,0.00003596975,0.00002601184,0.00003503893,0.00004189848,0.0001039491,0.0000111057,0.00003080406],"category_scores_gemma":[0.000001782285,0.00003030427,0.00001249365,0.00005215145,0.00001084499,0.0002510338,0.00005805963,0.00002474351,0.00007889465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006126327,"about_ca_system_score_gemma":0.000004649083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002845123,"about_ca_topic_score_gemma":0.00001282824,"domain_scores_codex":[0.9997036,0.000007153891,0.00004286012,0.0001099467,0.00004812136,0.00008827105],"domain_scores_gemma":[0.99984,0.00001553827,0.0000117664,0.00009544638,0.00002124529,0.00001596027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004447536,0.00005125394,0.001381025,0.000002685924,0.000007865237,0.00001669045,0.0001624531,0.00000230154,0.2027264,0.7650748,0.02474204,0.005827954],"study_design_scores_gemma":[0.0007831652,0.0002300769,0.250833,0.00001421831,0.000007692812,0.00009758512,0.000166588,0.01301464,0.6601036,0.009206482,0.06509382,0.0004491038],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1105956,0.0001073457,0.675042,0.001165141,0.000160361,0.0000412376,5.735519e-7,0.00002018457,0.2128676],"genre_scores_gemma":[0.9908834,0.000001763641,0.003074265,0.0005321781,0.00002799526,0.000001075619,6.451619e-7,0.000001426409,0.005477229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8802878,"threshold_uncertainty_score":0.1235772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003512270702244127,"score_gpt":0.1996143595910304,"score_spread":0.1961020888887863,"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."}}