{"id":"W2986805683","doi":"10.1145/3359997.3365693","title":"Visualizing and Interacting with Hierarchical Menus in Immersive Augmented Reality","year":2019,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Human–computer interaction; Modalities; Augmented reality; Gesture; Graphical user interface; Point (geometry); User interface; Visualization; Modality (human–computer interaction); Multimedia; Computer graphics (images); Computer vision; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001067198,0.0004709204,0.0003600133,0.0007958743,0.0004773528,0.001458494,0.0005199037,0.0006099119,0.004213827],"category_scores_gemma":[0.001710462,0.000456409,0.00052326,0.0006005956,0.001043834,0.001979712,0.001874808,0.0006231659,0.0008837896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135757,"about_ca_system_score_gemma":0.0001924644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044164,"about_ca_topic_score_gemma":0.001857036,"domain_scores_codex":[0.9992722,0.0003580676,0.00003776998,0.00009137273,0.0001882881,0.00005232384],"domain_scores_gemma":[0.9992085,0.0004713754,0.00005257078,0.0001256378,0.00009051611,0.00005140924],"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":[0.0007376276,0.0002417125,0.003302005,0.001899456,0.000134479,0.001989791,0.01768479,0.02243959,0.1648239,0.08917102,0.01510197,0.6824737],"study_design_scores_gemma":[0.0003732912,0.001009168,0.0231275,0.001464952,0.0003667084,0.01352178,0.00865256,0.2554982,0.1165365,0.154621,0.4239631,0.0008653518],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07950362,0.005416987,0.8963938,0.000478927,0.0001495955,0.0001247562,0.0001540797,0.002767866,0.0150103],"genre_scores_gemma":[0.4682226,0.003945124,0.521154,0.0002723899,0.0001015318,0.0001954309,0.000224601,0.000377138,0.005507173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004213827,"threshold_uncertainty_score":0.01409668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186461645869985,"score_gpt":0.2779749809373559,"score_spread":0.266110364478656,"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."}}