{"id":"W4205701438","doi":"10.5539/cis.v15n1p47","title":"VR Users Are More Relaxed and Optimistic during COVID Lockdown than Others","year":2022,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Headset; Virtual reality; Feeling; Coronavirus disease 2019 (COVID-19); Immersion (mathematics); Computer science; Human–computer interaction; Optical head-mounted display; Period (music); Positive correlation; Applied psychology; Internet privacy; Psychology; Artificial intelligence; Medicine; Social psychology; Aesthetics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003667464,0.0002621966,0.0002974167,0.0005361943,0.0007263601,0.001062571,0.0002553699,0.000401522,0.00462177],"category_scores_gemma":[0.002484129,0.0002108477,0.0003513818,0.0002378336,0.0005064645,0.0004089842,0.0007334789,0.0006091099,0.0006939674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134009,"about_ca_system_score_gemma":0.0001502373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003905671,"about_ca_topic_score_gemma":0.005741388,"domain_scores_codex":[0.9996349,0.00009673613,0.00003007995,0.0000411926,0.00009659149,0.0001005668],"domain_scores_gemma":[0.9983703,0.0003020812,0.0006508623,0.00009604529,0.0001901905,0.000390464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006448888,0.0003208024,0.839533,0.0003263086,0.0002070845,0.001280586,0.09303492,0.0001376921,0.01849169,0.0002249251,0.001499649,0.04429854],"study_design_scores_gemma":[0.000008056474,0.0003929109,0.9259784,0.00005597296,0.00004656884,0.0008930867,0.06861515,0.0001284048,0.0006206206,0.00009549219,0.003116807,0.0000485248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979291,0.0001986597,0.0001711387,0.00007858984,0.00001363074,0.00001018314,0.00006772969,0.00001330829,0.001517619],"genre_scores_gemma":[0.9982837,0.0001927467,0.000121742,0.00006884508,0.00000700998,0.00001044686,0.00007399881,0.000003764254,0.001237688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00462177,"threshold_uncertainty_score":0.01546139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015852125272109,"score_gpt":0.2526138414901154,"score_spread":0.2367617162180064,"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."}}