{"id":"W4367665559","doi":"10.1109/vr55154.2023.00091","title":"VGTC Virtual Reality Technical Achievement Award","year":2023,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Virtual reality; Computer science; Human–computer interaction; Computer graphics (images); Multimedia","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005200881,0.00009093196,0.00009968856,0.00008204379,0.0001560013,0.00006665775,0.0009715349,0.00006064645,0.00001937188],"category_scores_gemma":[0.00003064764,0.00007924532,0.0000559643,0.0009500592,0.00006076441,0.000162173,0.0007390329,0.0001238331,0.001349357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007354298,"about_ca_system_score_gemma":0.00005050498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007298284,"about_ca_topic_score_gemma":0.00004982263,"domain_scores_codex":[0.9987371,0.00004653409,0.0002253734,0.0003831686,0.0003410134,0.0002668433],"domain_scores_gemma":[0.9987688,0.00009029326,0.00004158571,0.0009517825,0.00003711891,0.0001104334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001204059,0.00009826905,0.00007659311,0.000002925841,0.00001001626,0.000004135833,0.00007396664,0.0004154622,0.001977412,0.9086122,0.0717249,0.01700295],"study_design_scores_gemma":[0.0008217157,0.0003036877,0.06340752,0.0000208675,0.00001896271,0.00002745018,0.0001876723,0.2146033,0.008022541,0.06620412,0.6455692,0.0008129107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001165583,0.000001754105,0.9344214,0.0489953,0.00009766921,0.0002140196,0.000005862217,0.001736504,0.01336189],"genre_scores_gemma":[0.9694609,0.00003693676,0.018798,0.00211207,0.0001166464,0.000313331,0.00005855094,0.00001827392,0.009085274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9682953,"threshold_uncertainty_score":0.9994282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0393289182239524,"score_gpt":0.3115728100461681,"score_spread":0.2722438918222157,"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."}}