{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002899271,0.0008447579,0.000611986,0.003449591,0.0005072614,0.005085603,0.0008533425,0.0008341316,0.006732109],"category_scores_gemma":[0.0178113,0.0003763897,0.000429988,0.00249612,0.003005801,0.004053491,0.001995665,0.00132992,0.001259944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143258,"about_ca_system_score_gemma":0.0005694105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002321428,"about_ca_topic_score_gemma":0.001962015,"domain_scores_codex":[0.9977648,0.0006489146,0.0001765822,0.0002244202,0.001096407,0.00008884328],"domain_scores_gemma":[0.9927771,0.003937214,0.0004785362,0.0006182894,0.001817794,0.0003710671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004501118,0.00007147073,0.006921423,0.001736229,0.0000697471,0.0002518088,0.001512001,0.005917751,0.01553272,0.0822599,0.01314678,0.87213],"study_design_scores_gemma":[0.0001230683,0.001287528,0.06406794,0.00364902,0.0003421913,0.004792895,0.004781977,0.1276555,0.0274076,0.3548595,0.4105137,0.0005191358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07220538,0.096662,0.7172959,0.009017297,0.003400419,0.0004507879,0.0009234371,0.002460892,0.09758397],"genre_scores_gemma":[0.6083272,0.0383103,0.3288438,0.001984277,0.002402143,0.0003713431,0.0005413414,0.001042412,0.01817717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006732109,"threshold_uncertainty_score":0.02252114,"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."}}