{"id":"W4411176600","doi":"10.1371/journal.pone.0323796","title":"Before hands disappear: Effect of early warning visual feedback method for hand tracking failures in virtual reality","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Google Research","keywords":"Virtual reality; Visual feedback; Computer science; Tracking (education); Computer vision; Human–computer interaction; Artificial intelligence; Medicine; Computer graphics (images); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177238,0.0001486562,0.0004125347,0.0001799032,0.0001387002,0.0001695884,0.000463499,0.00009763735,0.000002164048],"category_scores_gemma":[0.0005690505,0.0001312961,0.00008598809,0.0006203972,0.00006634669,0.0003605197,0.0001669864,0.0001643453,0.000002898524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000586397,"about_ca_system_score_gemma":0.00007395088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000393655,"about_ca_topic_score_gemma":0.0002133901,"domain_scores_codex":[0.998526,0.0001894687,0.0003585936,0.0003641005,0.0002687938,0.0002930906],"domain_scores_gemma":[0.9987393,0.0005715661,0.0001244759,0.0003912252,0.00009993713,0.00007347443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006991207,0.003192232,0.03447562,0.001789993,0.0006303815,0.000003450062,0.01325182,0.0006997526,0.1427121,0.09600526,0.00027316,0.7062671],"study_design_scores_gemma":[0.00468335,0.005623491,0.1347822,0.001792167,0.0001838879,0.000001242966,0.0001151135,0.306551,0.5376022,0.007955506,0.0002420682,0.0004676622],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5467278,0.00002479095,0.4519615,0.000681813,0.00001401463,0.0004048634,0.000008223634,0.00003582741,0.0001411818],"genre_scores_gemma":[0.9874352,0.000003543786,0.01217923,0.00005177714,0.00003171486,0.00010706,0.00001042997,0.000008857421,0.0001721982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7057994,"threshold_uncertainty_score":0.5354098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567337474086172,"score_gpt":0.3329806787308764,"score_spread":0.2973073039900146,"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."}}