{"id":"W4295641592","doi":"10.23880/eoij-16000267","title":"Human Factor Considerations in Virtual Reality: Adequate or Inadequate?","year":2021,"lang":"en","type":"article","venue":"Ergonomics International Journal","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virtual reality; Immersion (mathematics); Augmented reality; Immersive technology; Computer science; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02004065,0.0009097105,0.001320503,0.00230101,0.001429673,0.007182807,0.002322874,0.003397067,0.00464494],"category_scores_gemma":[0.04909142,0.0005072249,0.0008003996,0.001494982,0.007373293,0.007784318,0.003211261,0.00447406,0.001113673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002296938,"about_ca_system_score_gemma":0.004010375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006816248,"about_ca_topic_score_gemma":0.007613442,"domain_scores_codex":[0.9784129,0.0108519,0.001728347,0.00115745,0.007211106,0.0006383472],"domain_scores_gemma":[0.9171755,0.06606139,0.003074796,0.002019848,0.01054228,0.001126303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002617077,0.0001463394,0.005382498,0.009439776,0.0002014046,0.0008121584,0.004716475,0.002493616,0.002166291,0.1207463,0.0326028,0.8210306],"study_design_scores_gemma":[0.0001230369,0.00127328,0.01763169,0.02709546,0.0004499641,0.008125416,0.01952986,0.005119838,0.003233747,0.2205803,0.6963406,0.0004968983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0162458,0.6658691,0.1030417,0.1557914,0.008205523,0.0001989558,0.0002462497,0.0003663128,0.05003502],"genre_scores_gemma":[0.4324389,0.4151739,0.07902379,0.05108991,0.01327144,0.0004189265,0.0002738519,0.0003067175,0.008002654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02004065,"threshold_uncertainty_score":0.1059864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09689677914097587,"score_gpt":0.4158186239269205,"score_spread":0.3189218447859447,"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."}}