{"id":"W4407475854","doi":"10.1109/dicta63115.2024.00081","title":"Light Field Resolution Enhancement Framework","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Field (mathematics); Computer science; Resolution (logic); Light field; Artificial intelligence; 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":[0.0001926753,0.00008655048,0.00006326869,0.00008879656,0.00005082654,0.0002770769,0.0004644785,0.00006112097,0.0003686291],"category_scores_gemma":[0.00003348749,0.00007235864,0.00004069285,0.0003276746,0.000005640733,0.0004949468,0.0002076727,0.0001485742,0.0005396971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005122651,"about_ca_system_score_gemma":0.00002843329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008926329,"about_ca_topic_score_gemma":0.000001363968,"domain_scores_codex":[0.9991195,0.00001917462,0.0001394888,0.000309838,0.000211798,0.0002001727],"domain_scores_gemma":[0.999404,0.00008023233,0.00001338732,0.0004442594,0.00002502209,0.00003309378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001124051,0.00002242066,0.000003180846,0.00001987808,0.000008755816,0.00001952634,0.0002455831,4.606333e-7,0.01657181,0.7455335,0.1369573,0.1006164],"study_design_scores_gemma":[0.00001634981,0.0001168963,0.000005932863,0.0001196894,0.000002147135,0.000003022981,0.000003427361,0.01722728,0.7440073,0.04579299,0.1925809,0.0001239895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001085117,0.0005466864,0.9201419,0.01001425,0.0007643149,0.0001121866,7.133793e-8,0.001334498,0.06697755],"genre_scores_gemma":[0.3578467,0.00008887128,0.6325008,0.002143155,0.000158355,0.00005589723,5.414591e-7,0.000007643544,0.007197995],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7274355,"threshold_uncertainty_score":0.6936894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009838698932998461,"score_gpt":0.2784354592717786,"score_spread":0.2685967603387802,"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."}}