{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150362,0.0006108013,0.0004554539,0.0004598972,0.0005905579,0.001754655,0.001020264,0.001683438,0.00738439],"category_scores_gemma":[0.00239913,0.000300828,0.0005856326,0.0002572045,0.0008465371,0.001604091,0.002836019,0.0007061058,0.001397467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002283453,"about_ca_system_score_gemma":0.0002962982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00153577,"about_ca_topic_score_gemma":0.002409665,"domain_scores_codex":[0.9988467,0.0004887053,0.00004774307,0.000193224,0.0002921409,0.000131567],"domain_scores_gemma":[0.9992601,0.0004685039,0.00003336279,0.00008341258,0.00006923071,0.0000853305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001874008,0.0003357409,0.002620239,0.0006082178,0.0001861884,0.00196852,0.01672287,0.00490145,0.3029429,0.01206311,0.01649698,0.6392798],"study_design_scores_gemma":[0.00129417,0.006621088,0.02329472,0.001363544,0.00111737,0.01150125,0.01824696,0.1632521,0.2811997,0.03112289,0.4596076,0.001378531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3001349,0.002920587,0.6333341,0.001589624,0.0008593883,0.0004619898,0.0003707006,0.01665254,0.04367623],"genre_scores_gemma":[0.7586901,0.0008617786,0.2123723,0.001070259,0.000182118,0.0002357771,0.0003104991,0.0007489158,0.0255282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00738439,"threshold_uncertainty_score":0.02470326,"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."}}