{"id":"W2891330913","doi":"10.1109/qomex.2018.8463422","title":"A Neurophysiological Sensor-Equipped Head-Mounted Display for Instrumental QoE Assessment of Immersive Multimedia","year":2018,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Headset; Computer science; Neurophysiology; Virtual reality; Modalities; Electroencephalography; Eyewear; Wearable computer; Human–computer interaction; Electrooculography; Multimedia; Artificial intelligence; Computer vision; Eye movement; Embedded system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004320963,0.0005833419,0.0003958225,0.0005151287,0.0001160564,0.0004248429,0.0008222873,0.0005825287,0.00473481],"category_scores_gemma":[0.001181426,0.0002155372,0.0003707344,0.0003237314,0.0001532172,0.0004160312,0.0004579694,0.0003855163,0.0008850245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572871,"about_ca_system_score_gemma":0.0003510316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004528789,"about_ca_topic_score_gemma":0.0008808933,"domain_scores_codex":[0.9996178,0.00009188031,0.0000288669,0.00007611873,0.0001641315,0.00002125889],"domain_scores_gemma":[0.9994423,0.0001948723,0.00006020625,0.00007700335,0.0001755648,0.00005000302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000344155,0.000138482,0.002790765,0.0005597054,0.00005355831,0.0004854095,0.0001376021,0.0006026587,0.848635,0.0004227048,0.003209608,0.1426204],"study_design_scores_gemma":[0.0003093951,0.005562535,0.1526109,0.0002974101,0.0005394366,0.01168859,0.0003166775,0.0452207,0.7268407,0.001034679,0.05529728,0.0002816789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2671598,0.002542252,0.7129565,0.0005786638,0.0004938465,0.001442831,0.002295768,0.004341559,0.008188805],"genre_scores_gemma":[0.5994248,0.00170214,0.3849737,0.0007321726,0.0002778953,0.001065327,0.001020174,0.0002874986,0.01051633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00473481,"threshold_uncertainty_score":0.01583952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03982825485806624,"score_gpt":0.3653789761473442,"score_spread":0.325550721289278,"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."}}