{"id":"W2006513692","doi":"10.1364/aopt.2011.jtub6","title":"Image Quality Estimate of a Head Mounted Display Apparatus for Low Vision Aids","year":2011,"lang":"en","type":"article","venue":"Imaging and Applied Optics","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Head (geology); Image quality; Optical head-mounted display; Quality (philosophy); Computer graphics (images); Image processing; Image (mathematics); Physics","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":[0.0002318583,0.0001606505,0.000252983,0.00003596801,0.00005207864,0.00003303122,0.0000817935,0.00004346863,0.000005729241],"category_scores_gemma":[0.0000319439,0.0001469719,0.00004167316,0.00008330577,0.00008119406,0.00008459886,0.00002804867,0.00008917801,0.000005273586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001651917,"about_ca_system_score_gemma":0.00000645162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001107445,"about_ca_topic_score_gemma":0.000001553707,"domain_scores_codex":[0.9991546,0.000006880523,0.0002764828,0.0001723753,0.0001317245,0.0002579656],"domain_scores_gemma":[0.9995645,0.0000693121,0.00004038953,0.0001832144,0.00005883814,0.00008379178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006626226,0.0008160613,0.009582874,0.004130545,0.0002974986,0.000008770979,0.00277393,0.01089522,0.82257,0.04922803,0.0003799507,0.09865451],"study_design_scores_gemma":[0.002645161,0.0001253984,0.0182437,0.0003496684,0.0001408532,0.000004448987,0.0005067945,0.8321257,0.1406678,0.004085292,0.0002776327,0.0008274809],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8424094,0.0002369681,0.1500976,0.00001089562,0.0001669452,0.0002878892,0.00004028249,0.0001551125,0.006594943],"genre_scores_gemma":[0.8756623,0.00001682733,0.1242236,0.00001152279,0.00001815723,0.00002601764,0.000006474228,0.00002826041,0.000006827558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8212305,"threshold_uncertainty_score":0.5993341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612848263412971,"score_gpt":0.3125472851696068,"score_spread":0.2864188025354771,"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."}}