{"id":"W2057558947","doi":"10.1109/ncvpripg.2011.9","title":"Perceptual Factors in Graphics: From JND to PAM","year":2011,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Visualization; Animation; Perception; Computer graphics; Graphics; Pipeline (software); Multimedia; Graphics pipeline; Artificial intelligence; Human–computer interaction; 3D computer graphics; Computer graphics (images)","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":[0.0001473416,0.00009407937,0.0001117688,0.0001165713,0.00003243376,0.00006628013,0.0005963495,0.00003924427,0.0004134958],"category_scores_gemma":[0.00001621136,0.00007628709,0.00004057915,0.0002646396,0.00001785714,0.0004150986,0.000219409,0.0000879061,0.0001905688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002165303,"about_ca_system_score_gemma":0.00002920378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00688222,"about_ca_topic_score_gemma":0.00113915,"domain_scores_codex":[0.9990883,0.00006040702,0.0001710713,0.0002928318,0.0001768115,0.0002105661],"domain_scores_gemma":[0.9993996,0.00005293442,0.0000194019,0.0004047808,0.00002479056,0.00009847928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002101394,0.00087387,0.3237632,0.00001192227,0.00005240043,0.0001015737,0.2070653,0.000005713363,0.003619338,0.4201643,0.01006228,0.03425909],"study_design_scores_gemma":[0.000290471,0.0001695608,0.965975,0.0000147814,0.000003007412,6.660252e-7,0.003017347,0.001166119,0.01210207,0.01433665,0.00256251,0.0003617412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6586164,0.000007335085,0.3328146,0.0003301864,0.0001735275,0.00009270621,0.000002161516,0.00008790928,0.007875217],"genre_scores_gemma":[0.9568478,0.000002122612,0.04110413,0.001794627,0.00001944447,0.000005630047,0.000001762115,0.000003794511,0.0002207065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6422119,"threshold_uncertainty_score":0.9997311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09346644700462409,"score_gpt":0.2970043559805864,"score_spread":0.2035379089759624,"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."}}