{"id":"W2898222558","doi":"10.1109/mmul.2018.2873843","title":"Towards a QoE Model to Evaluate Holographic Augmented Reality Devices","year":2018,"lang":"en","type":"article","venue":"IEEE Multimedia","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Augmented reality; Quality of experience; Multimedia; Perspective (graphical); Holography; Human–computer interaction; Inference; Quality of service; Computer network; Artificial intelligence","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":[0.003358856,0.00114833,0.0006913893,0.001435877,0.0003933453,0.002007503,0.001589176,0.001511767,0.001364791],"category_scores_gemma":[0.009052838,0.0003387299,0.0007204621,0.0006186821,0.0008702252,0.002766301,0.001038219,0.001253871,0.0003871233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481787,"about_ca_system_score_gemma":0.0008411274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005857858,"about_ca_topic_score_gemma":0.002808974,"domain_scores_codex":[0.9974824,0.0009103297,0.0001763113,0.000301142,0.0009580418,0.0001718187],"domain_scores_gemma":[0.996274,0.001712205,0.0004425416,0.0001932305,0.001278996,0.00009909333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004339584,0.0005887273,0.009480041,0.0003317918,0.0001700363,0.0001945088,0.0005408484,0.8016163,0.02790882,0.05315172,0.002067592,0.1035157],"study_design_scores_gemma":[0.00001067536,0.0001459739,0.001433155,0.00003444796,0.00002486298,0.00003951802,0.00007231473,0.9889194,0.002119158,0.006471423,0.0007082885,0.00002072749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03958325,0.0004920355,0.9529344,0.0004438556,0.00004674121,0.000216694,0.0001325132,0.000257563,0.005892972],"genre_scores_gemma":[0.8848776,0.0004905914,0.1114467,0.000164829,0.0000562443,0.0003599112,0.0001757964,0.00004002493,0.002388264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005857858,"threshold_uncertainty_score":0.01776356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085501145762839,"score_gpt":0.3963333568592129,"score_spread":0.287783242282929,"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."}}