{"id":"W4295181077","doi":"10.3389/fcomp.2022.954038","title":"The reality of remote extended reality research: Practical case studies and taxonomy","year":2022,"lang":"en","type":"article","venue":"Frontiers in Computer Science","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virtual reality; Variety (cybernetics); Session (web analytics); Taxonomy (biology); Computer science; Set (abstract data type); Data science; Human–computer interaction; World Wide Web; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01240388,0.0001091857,0.000221235,0.0002641387,0.001825348,0.0002476417,0.001498206,0.00002328517,4.977346e-7],"category_scores_gemma":[0.0006713087,0.00008433959,0.00003181888,0.002511902,0.002115946,0.0006674429,0.003307613,0.0004543368,4.938321e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000313029,"about_ca_system_score_gemma":0.0005424523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003548229,"about_ca_topic_score_gemma":0.00004640688,"domain_scores_codex":[0.9967532,0.0007003105,0.0003976396,0.0006748601,0.0009514975,0.0005224828],"domain_scores_gemma":[0.9973763,0.000707204,0.0001634066,0.001265592,0.0003231007,0.0001644307],"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":[0.00002670083,0.0001157888,0.0001967687,0.00002372835,0.00001734261,0.0002310418,0.00249333,0.0003929791,0.00003258956,0.07367422,0.01948608,0.9033094],"study_design_scores_gemma":[0.0003637279,0.0004461064,0.00391937,0.00002193561,0.000004535061,0.001320898,0.001998189,0.8202099,0.000210462,0.1435562,0.02771875,0.0002299408],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01036548,0.000515387,0.9760817,0.01168449,0.000627018,0.000473321,0.000005377623,0.00003130736,0.0002159521],"genre_scores_gemma":[0.5840273,0.0001736451,0.4155378,0.0001600044,0.00003161345,0.00004851508,2.940441e-7,0.000003189431,0.00001764823],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9030795,"threshold_uncertainty_score":0.9994742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2361591783585121,"score_gpt":0.4242104664215546,"score_spread":0.1880512880630425,"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."}}