{"id":"W2805850800","doi":"10.1002/sdtp.12268","title":"P‐91: Light Field Display Simulator for Experience and Quality Evaluation","year":2018,"lang":"en","type":"article","venue":"SID Symposium Digest of Technical Papers","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Avalon Rare Metals (Canada)","funders":"","keywords":"Light field; Computer science; Rendering (computer graphics); Computer graphics (images); Simulation; Field (mathematics); Display device; Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008270596,0.0007860875,0.0004687162,0.0005311595,0.0002025214,0.0007522226,0.001230336,0.0005388947,0.01622386],"category_scores_gemma":[0.002614439,0.0003717427,0.0003655735,0.0003570491,0.0002041889,0.0006381916,0.0007180062,0.0006799398,0.002675825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004113457,"about_ca_system_score_gemma":0.0007081261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001861358,"about_ca_topic_score_gemma":0.001601843,"domain_scores_codex":[0.9995814,0.00008876446,0.00002628832,0.00002617614,0.0002502749,0.00002712606],"domain_scores_gemma":[0.9987416,0.0005056594,0.00004511565,0.0002013611,0.0004021803,0.000104179],"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":[0.002020363,0.001397341,0.006463344,0.001044851,0.0001883688,0.001024073,0.0009935385,0.3212239,0.276048,0.01160256,0.07780652,0.3001872],"study_design_scores_gemma":[0.0003334579,0.000543403,0.002775972,0.00006277312,0.00005987455,0.0004870429,0.00008586265,0.8514412,0.09806851,0.002307909,0.04370518,0.0001288963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0945277,0.0002253241,0.8519551,0.0002224426,0.0001373706,0.001185813,0.005468371,0.03321454,0.0130634],"genre_scores_gemma":[0.6210083,0.0005646398,0.3417148,0.0001880806,0.00003657542,0.001793965,0.009431842,0.006770533,0.01849136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01622386,"threshold_uncertainty_score":0.0542742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052573494879027,"score_gpt":0.3226980579652965,"score_spread":0.3021723230165063,"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."}}