{"id":"W2061187529","doi":"10.1109/qomex.2011.6065698","title":"Contrast effect on 3D and 2D video perception","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Telus (Canada); University of British Columbia","funders":"","keywords":"Contrast (vision); Perception; Computer science; Brightness; Contrast effect; Computer vision; Artificial intelligence; Stimulus (psychology); Quality of experience; Psychology; Cognitive 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003059789,0.00007385881,0.0000734213,0.00003254284,0.00001462269,0.000007449933,0.00004339643,0.00004144518,0.00007530448],"category_scores_gemma":[0.00004722997,0.00005792953,0.00001020338,0.0000319078,0.00005022463,0.00007651325,0.00001653478,0.00009143035,0.0001013855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001713775,"about_ca_system_score_gemma":4.003124e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003302889,"about_ca_topic_score_gemma":0.000001147622,"domain_scores_codex":[0.9997175,0.000003704466,0.00004955543,0.00008411673,0.000033374,0.0001117129],"domain_scores_gemma":[0.999816,0.00004363478,0.00000342372,0.0001102082,0.000005180221,0.0000215643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004271951,0.00003306888,0.005090657,0.00009305445,0.00004179318,0.00001930882,0.0003102188,0.0004743093,0.1038904,0.01363512,0.001167419,0.8752019],"study_design_scores_gemma":[0.003348117,0.002668984,0.2886393,0.0002554232,0.0001235876,0.00007817596,0.0006353432,0.2142653,0.457562,0.02569785,0.004741496,0.001984341],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8496453,0.00004966543,0.09044446,0.00003768852,0.00009723083,0.0001283681,8.244328e-7,0.002617317,0.05697914],"genre_scores_gemma":[0.9691844,0.00001839345,0.03068447,0.00003109138,0.000008490551,0.000008885671,3.816137e-7,0.00001203616,0.00005183724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8732176,"threshold_uncertainty_score":0.2362298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077112404539958,"score_gpt":0.2164484186716525,"score_spread":0.205677294626253,"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."}}