{"id":"W3135907457","doi":"10.1145/3406324.3410537","title":"Let's Go There: Voice and Pointing Together in VR","year":2020,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Human–computer interaction; Virtual reality; Identification (biology); Object (grammar); Teamwork; Feeling; Multimedia; Augmented reality; Mixed reality; Natural (archaeology); Artificial intelligence; Psychology","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":[0.0001022603,0.00004738997,0.00005615049,0.00001603256,0.00003235773,0.00005678901,0.0002787497,0.00002226859,0.00002216428],"category_scores_gemma":[0.00002093301,0.00004100728,0.00001085493,0.0002479158,0.00001845658,0.0001539481,0.0002004326,0.00007456751,0.0001220789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009023095,"about_ca_system_score_gemma":0.00001225992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001099461,"about_ca_topic_score_gemma":0.0000663478,"domain_scores_codex":[0.999499,0.0000243958,0.00009699838,0.0002025128,0.00007426763,0.0001028261],"domain_scores_gemma":[0.9996905,0.00004696846,0.0000237846,0.0001766628,0.00001074125,0.00005134379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005507512,0.0001418593,0.01173647,0.00005207776,0.00003044941,0.00001759972,0.01357873,0.0004920393,0.01310354,0.6576288,0.007580445,0.2956324],"study_design_scores_gemma":[0.001035936,0.00009364614,0.03370572,0.00003275311,0.000007866646,0.00001755454,0.001050958,0.7487748,0.008144171,0.01707267,0.1894897,0.0005741871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01874125,0.00006709656,0.8951445,0.04141093,0.00001437292,0.0001294579,4.947704e-7,0.0001344676,0.0443575],"genre_scores_gemma":[0.9771986,0.000008799402,0.01775015,0.0046312,0.00002716816,0.00001080684,4.3084e-7,0.000004739592,0.0003681175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9584574,"threshold_uncertainty_score":0.1672228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443325331882681,"score_gpt":0.2494344145597041,"score_spread":0.2250011612408773,"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."}}