{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000195224,0.0001390068,0.0001081018,0.0004480367,0.0004099697,0.0001411447,0.001210614,0.00009245655,0.00003658048],"category_scores_gemma":[0.00001243498,0.0001364588,0.0001169651,0.001402659,0.0001252032,0.0002938888,0.00002170303,0.0002034109,0.00004460566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001011128,"about_ca_system_score_gemma":0.00003144605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001495465,"about_ca_topic_score_gemma":0.00002706551,"domain_scores_codex":[0.9989451,0.00004992967,0.0001902939,0.0003506592,0.000255633,0.0002084099],"domain_scores_gemma":[0.9983828,0.00009205232,0.00004610174,0.001199128,0.0001871114,0.00009280658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003905067,0.0001582293,0.00008820641,0.000004772832,0.00002584977,0.000002377491,0.0004199569,0.000002020385,0.00008149962,0.9466313,0.0009620748,0.05161985],"study_design_scores_gemma":[0.0008513248,0.001958092,0.004693525,0.00008666579,0.00003287864,0.00004568762,0.00002980846,0.1621466,0.06019819,0.6291357,0.1397467,0.001074909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002318349,0.00001824525,0.9949265,0.0008212356,0.0004871447,0.0001085219,0.000003221044,0.0008073968,0.000509455],"genre_scores_gemma":[0.9575272,0.0001139874,0.03978217,0.002402891,0.00007321849,0.00002064036,0.000001375653,0.00001391253,0.00006458075],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9552089,"threshold_uncertainty_score":0.5564628,"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."}}