{"id":"W4400971967","doi":"10.2316/j.2024.206-1048","title":"IMAGE STYLE MIGRATION BASED ON CYCLEGAN WITH SAME MAPPING LOSS","year":2024,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Style (visual arts); Image (mathematics); Computer science; Artificial intelligence; Computer vision; Art; Visual arts","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002369612,0.00008019223,0.00008783834,0.0002221121,0.0000439711,0.0006089073,0.0002047151,0.00002426905,0.000006971277],"category_scores_gemma":[0.00003084726,0.00005874128,0.00004435768,0.0001265584,0.0000235726,0.0007840716,0.00002275397,0.00009493641,0.000004594026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000487051,"about_ca_system_score_gemma":0.00006124597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005624697,"about_ca_topic_score_gemma":0.000003898511,"domain_scores_codex":[0.9991946,0.00003884416,0.0002157087,0.0001153713,0.0003635077,0.0000719552],"domain_scores_gemma":[0.9993834,0.0001008561,0.0001358918,0.00006950735,0.0002709464,0.00003932354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005507465,0.0001363948,0.0005502185,0.00004168646,0.0002396151,0.0003809718,0.001294497,0.8086085,0.009367802,0.0234084,0.00157055,0.1543463],"study_design_scores_gemma":[0.0002074135,0.0001162943,0.002423754,0.0002402325,0.000008661794,0.00006535229,0.00002339648,0.9943098,0.0009030783,0.0007728706,0.0008580433,0.00007110334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009560812,0.00006830884,0.9781131,0.01137906,0.00064391,0.00003816525,0.000001936381,0.00002861003,0.0001661675],"genre_scores_gemma":[0.8180741,0.00002724489,0.1814251,0.0002035807,0.0002365267,6.433894e-7,0.000002753132,0.000005068815,0.0000249804],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8085133,"threshold_uncertainty_score":0.5871707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008594740710790716,"score_gpt":0.2349604466331488,"score_spread":0.2263657059223581,"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."}}