{"id":"W2809383320","doi":"10.1145/3272127.3275065","title":"FrankenGAN","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Generative grammar; Set (abstract data type); Style (visual arts); Generative model; Scale (ratio); Artificial intelligence; Programming language; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006549953,0.001348489,0.0008121665,0.001493649,0.001276752,0.00316848,0.00114762,0.002061653,0.3186291],"category_scores_gemma":[0.002923914,0.0004820525,0.0005464556,0.001243478,0.0006793332,0.003044872,0.002497635,0.001986563,0.2262979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000888661,"about_ca_system_score_gemma":0.001113188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002081863,"about_ca_topic_score_gemma":0.002334697,"domain_scores_codex":[0.999135,0.00009226926,0.00004149745,0.0003761411,0.000263353,0.00009181262],"domain_scores_gemma":[0.9990613,0.0002976088,0.00005467375,0.0002129504,0.0002383899,0.0001350907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002131564,0.0001075163,0.001166088,0.0004554916,0.00002918289,0.0004839999,0.000224891,0.003980597,0.00311499,0.06046712,0.2140149,0.7157421],"study_design_scores_gemma":[0.00002728124,0.00004284773,0.0004970409,0.0001540962,0.00001481902,0.0006237361,0.00008252155,0.006372207,0.002667815,0.02299964,0.9664786,0.00003939127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01190962,0.02065986,0.1975196,0.01497936,0.007052176,0.0002737978,0.007850433,0.01753142,0.7222237],"genre_scores_gemma":[0.09407699,0.01395489,0.0784511,0.003297368,0.001171687,0.0003434203,0.01038775,0.003859712,0.7944571],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3186291,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274912570059944,"score_gpt":0.2962338573557581,"score_spread":0.2687426003497637,"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."}}