{"id":"W4317791988","doi":"10.1109/ism55400.2022.00033","title":"Synthesizing ultraviolet skin images via GAN with Gaussian weighted patch blending","year":2022,"lang":"en","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Ultraviolet; Pixel; RGB color model; Gaussian; Translation (biology); Image (mathematics); Face (sociological concept); Image resolution; 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":[0.0003735547,0.0002310397,0.0002371611,0.0001329691,0.0007787902,0.0002366512,0.0008675861,0.00002726859,0.0004762618],"category_scores_gemma":[0.000009531456,0.0001799737,0.00007961535,0.000625455,0.00005237939,0.0005287132,0.0002738176,0.0002313355,0.00002536723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007732125,"about_ca_system_score_gemma":0.00006008692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003058589,"about_ca_topic_score_gemma":0.00002958958,"domain_scores_codex":[0.9980202,0.0002632862,0.0002275223,0.000587482,0.0004254955,0.0004759689],"domain_scores_gemma":[0.9990161,0.0001554233,0.0001115406,0.0005475417,0.00004752483,0.000121881],"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":[0.0001758701,0.00115415,0.01026342,0.00007132879,0.0006809406,0.001068065,0.006012588,0.03594071,0.2360248,0.03281984,0.02489036,0.6508979],"study_design_scores_gemma":[0.001062797,0.0006497743,0.004401319,0.0000631767,0.00006685425,0.0002837711,0.001497947,0.4728393,0.4993349,0.00184004,0.01643739,0.001522717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005212244,0.00007524981,0.9828343,0.001586391,0.0002585106,0.0001901894,0.000006104818,0.0002125901,0.009624405],"genre_scores_gemma":[0.9151686,0.000009283107,0.0835205,0.0004166878,0.0001156653,0.00004845445,0.000004786066,0.00002185696,0.0006941883],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9099563,"threshold_uncertainty_score":0.7339113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006124617268893698,"score_gpt":0.1942951415495044,"score_spread":0.1881705242806107,"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."}}