{"id":"W2099630320","doi":"10.1002/jsid.99","title":"Guidelines for an improved quality of experience in 3‐D TV and 3‐D mobile displays","year":2012,"lang":"en","type":"article","venue":"Journal of the Society for Information Display","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stereoscopy; Computer science; Parallax; Computer vision; Quality (philosophy); Mobile device; Computer graphics (images); Image quality; Quality of experience; Artificial intelligence; Autostereoscopy; Multimedia; Image (mathematics); World Wide Web; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005501068,0.00007284735,0.0001530146,0.00002534042,0.00004002755,0.00001661802,0.0001803253,0.00005981532,6.130346e-7],"category_scores_gemma":[0.000569705,0.00004828111,0.0002026127,0.00008502937,0.00007341093,0.001958187,0.00003464292,0.00009840199,8.955421e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004661144,"about_ca_system_score_gemma":0.000008936096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002053158,"about_ca_topic_score_gemma":9.809739e-7,"domain_scores_codex":[0.999128,0.000004516382,0.0006004731,0.00002433418,0.00009813238,0.0001445561],"domain_scores_gemma":[0.9992642,0.0001126785,0.000252907,0.0001194562,0.0002173304,0.0000333737],"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":[0.0006899774,0.000542836,0.04280348,0.005877101,0.0007617442,6.738324e-8,0.1618451,0.3116828,0.2376439,0.03860902,0.02870461,0.1708393],"study_design_scores_gemma":[0.004934375,0.000467713,0.02666194,0.0003171014,0.000116352,0.00003088214,0.05104521,0.8029197,0.07395364,0.006556835,0.03227558,0.000720606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8450037,0.0003008794,0.1538972,0.0001355893,0.000257103,0.0003206941,0.00003556644,0.00002671179,0.00002256791],"genre_scores_gemma":[0.9181341,0.00005806276,0.08164666,0.0000757505,0.00003390864,0.00003927189,0.000002170525,0.000005787082,0.000004314742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.491237,"threshold_uncertainty_score":0.1968847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06249590688009196,"score_gpt":0.3788772900794615,"score_spread":0.3163813831993696,"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."}}