{"id":"W4385624643","doi":"10.15701/kcgs.2023.29.3.13","title":"Developing an HDR Imaging Method for an Ultra-thin Light-Field Camera","year":2023,"lang":"en","type":"article","venue":"Journal of the Korea Computer Graphics Society","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology; Nexen (Canada)","funders":"Defense Acquisition Program Administration","keywords":"Computer vision; Artificial intelligence; Computer graphics (images); Field (mathematics); Computer science; Light field; Mathematics","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":[0.003249409,0.0002417337,0.0003302736,0.0001819962,0.0004779929,0.0004564616,0.002769709,0.000106377,8.388255e-7],"category_scores_gemma":[0.00005044039,0.0001765396,0.0006262517,0.001126799,0.00005011987,0.001519937,0.0003030426,0.0005532593,0.00000100249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009391292,"about_ca_system_score_gemma":0.0002094745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002186959,"about_ca_topic_score_gemma":0.000006198889,"domain_scores_codex":[0.997722,0.0002670937,0.0006073529,0.0003609447,0.0005902564,0.0004523926],"domain_scores_gemma":[0.9976364,0.0003891657,0.0005660433,0.0007428096,0.0005354421,0.0001301613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005581794,0.000480556,0.003144564,0.0002895198,0.0008403746,0.00006673329,0.03803201,0.001145725,0.07182936,0.3330611,0.3014423,0.249612],"study_design_scores_gemma":[0.0006454228,0.0004461616,0.001063071,0.0002279397,0.00005145912,0.0002325919,0.0002027458,0.76849,0.1285321,0.09206921,0.007516629,0.0005226549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004903551,0.00004953977,0.9831272,0.01000367,0.001321689,0.0002549628,0.000001780967,0.0002939703,0.00004359215],"genre_scores_gemma":[0.04337993,0.00009486748,0.9484996,0.007361261,0.0005978568,0.00001139808,0.000001990779,0.00003087994,0.00002222128],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7673442,"threshold_uncertainty_score":0.7199076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03282943509311777,"score_gpt":0.3281724738443413,"score_spread":0.2953430387512236,"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."}}