{"id":"W2619065915","doi":"10.1007/978-3-319-59876-5_73","title":"Light Field Estimation in the Ultraviolet Spectrum","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ultraviolet; Computer science; Light field; Computer vision; Photography; Artificial intelligence; Optics; Radiometry; Ultraviolet light; Formalism (music); Field (mathematics); Physics; Mathematics; Optoelectronics","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":[0.0003482337,0.0004312462,0.0005638911,0.0006943253,0.0002040823,0.001066739,0.0005975242,0.0005787737,0.002569911],"category_scores_gemma":[0.001480114,0.0002904927,0.000426056,0.0005914856,0.0003615478,0.00135556,0.0007554649,0.0009531957,0.00126251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002944413,"about_ca_system_score_gemma":0.0002886997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130516,"about_ca_topic_score_gemma":0.001023523,"domain_scores_codex":[0.9998104,0.00005027879,0.000006997632,0.00004625145,0.00006918981,0.00001685408],"domain_scores_gemma":[0.9996492,0.0001828457,0.00002474829,0.00003776888,0.00008851788,0.00001693328],"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":[0.0001910557,0.00005469517,0.001070943,0.0002888088,0.00005889846,0.00007053123,0.0001253733,0.1001436,0.03726338,0.06542307,0.007512663,0.787797],"study_design_scores_gemma":[0.00001150822,0.00002706347,0.0008691382,0.0000671462,0.00001726145,0.0001673032,0.0000458607,0.9224182,0.01439407,0.05531165,0.006646492,0.00002418875],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005836514,0.00113954,0.9882068,0.000161907,0.00005920095,0.000008642474,0.00004578199,0.0002918837,0.004249656],"genre_scores_gemma":[0.2667918,0.003987902,0.7083914,0.000155962,0.000325988,0.00004152093,0.0004862218,0.0003219884,0.01949714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002569911,"threshold_uncertainty_score":0.008597195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381884296961194,"score_gpt":0.2791688546908642,"score_spread":0.2653500117212523,"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."}}