{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007547479,0.0008612325,0.0006614403,0.001340348,0.0006227319,0.001709122,0.001625762,0.0009129568,0.0289333],"category_scores_gemma":[0.005732513,0.0004453871,0.0006281661,0.001071285,0.0007405871,0.003085821,0.00237241,0.0008322733,0.003996273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002046914,"about_ca_system_score_gemma":0.0002962473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005173523,"about_ca_topic_score_gemma":0.0008026268,"domain_scores_codex":[0.9989771,0.0001776028,0.00008614101,0.0001445866,0.0005088749,0.0001058042],"domain_scores_gemma":[0.9968073,0.001496502,0.0002262093,0.000726947,0.0004329086,0.0003100989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002012624,0.0001599544,0.002473304,0.001470872,0.00009351302,0.0007384013,0.001022502,0.00642128,0.07545222,0.06210134,0.03254471,0.8155093],"study_design_scores_gemma":[0.0005839548,0.001815252,0.008840343,0.00061465,0.0003486703,0.007489705,0.001143794,0.09171449,0.1297763,0.06457872,0.6925598,0.0005344069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04670311,0.002237579,0.8964517,0.0004590232,0.0005910309,0.0003114832,0.00121364,0.02369679,0.02833566],"genre_scores_gemma":[0.3460141,0.001350917,0.6231064,0.0005957587,0.0002225205,0.0004668602,0.001350297,0.002585726,0.02430755],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0289333,"threshold_uncertainty_score":0.09679151,"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."}}