{"id":"W3135319480","doi":"10.1145/3441233.3441238","title":"Generating Stylistic Images by Extending Neural Style Transfer Method","year":2020,"lang":"en","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Style (visual arts); Artificial intelligence; Natural language processing; Transfer (computing); Computer vision; Art; Visual arts","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":[0.0002284342,0.0001860658,0.0002170957,0.00002658801,0.0002111428,0.0003687993,0.000539144,0.00003929717,0.0002567514],"category_scores_gemma":[0.0000801173,0.0001552712,0.00009376353,0.0002947036,0.0000249764,0.0006340525,0.0001295696,0.0001391795,0.00002928697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000013429,"about_ca_system_score_gemma":0.00001896979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003796118,"about_ca_topic_score_gemma":0.000002247832,"domain_scores_codex":[0.9984829,0.0002229287,0.0002378149,0.0005176631,0.0002095526,0.0003291456],"domain_scores_gemma":[0.9993391,0.0001692156,0.00002755844,0.0002265088,0.00005042244,0.0001871734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008722247,0.00004198316,0.0000558688,0.00001808989,0.00005273915,0.00003037986,0.0009153699,0.0440894,0.6506634,0.005034749,0.01895691,0.2801323],"study_design_scores_gemma":[0.0001834598,0.0000623536,0.00002609096,0.000002857085,0.00001003943,0.000003687644,0.00005359282,0.9336495,0.06117913,0.0000277656,0.004596343,0.0002051267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005729004,0.0002733556,0.99301,0.003588116,0.0001361814,0.0001119772,0.000007407329,0.0001904614,0.002109541],"genre_scores_gemma":[0.5174313,0.00001041047,0.4787164,0.003257819,0.0002011673,0.000007501196,0.000003352599,0.00001305742,0.0003590508],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8895602,"threshold_uncertainty_score":0.6331774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222728912119033,"score_gpt":0.2595045298036522,"score_spread":0.2372772406824619,"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."}}