{"id":"W1984922550","doi":"10.1117/12.430835","title":"&lt;title&gt;Performance enhancement of field-sequential stereoscopic video systems&lt;/title&gt;","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Stereoscopy; Adapter (computing); Computer vision; Depth of field; Artificial intelligence; Lens (geology); Software; Computer graphics (images); Shutter; Field of view; Computer hardware; Optics; 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":[0.0001494287,0.000186703,0.0002603942,0.00007592946,0.0000258348,0.00003437693,0.0005104287,0.0001345465,0.0000664969],"category_scores_gemma":[0.000158791,0.0001637417,0.0001853726,0.0001899135,0.0001110469,0.0002281647,0.00009952012,0.0001942575,0.00001648314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001033214,"about_ca_system_score_gemma":0.00001122173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.968895e-7,"about_ca_topic_score_gemma":2.831112e-8,"domain_scores_codex":[0.9988199,9.484253e-9,0.0004109042,0.0001761883,0.0003393358,0.0002536245],"domain_scores_gemma":[0.9993222,0.00005371356,0.0001174949,0.00006454677,0.0003962021,0.00004578873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002916839,0.00006069528,0.0001619455,0.001074056,0.0003285825,2.453627e-7,0.00004860118,0.000467746,0.5702099,0.4090569,0.01484166,0.003720477],"study_design_scores_gemma":[0.00103617,0.0004598092,0.0002423936,0.001165624,0.0001863935,0.00002870066,0.0002344734,0.1990066,0.6690161,0.001890345,0.1259988,0.000734612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662635,0.0003596816,0.001126827,0.0002713052,0.0004960568,0.000250907,0.00001003329,0.0001953355,0.0310263],"genre_scores_gemma":[0.8897485,0.0007799568,0.1078134,0.00003395171,0.0002989373,0.00009648915,0.000004885541,0.00006785966,0.001156059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4071665,"threshold_uncertainty_score":0.6677191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144445101260366,"score_gpt":0.2304167580623733,"score_spread":0.2189723070497697,"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."}}