{"id":"W2923183188","doi":"10.1145/3355089.3356494","title":"LOGAN","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Autoencoder; Translation (biology); Artificial neural network; Domain (mathematical analysis); Key (lock); Pattern recognition (psychology); Encoding (memory); Deep learning; Shape analysis (program analysis)","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":[0.000632161,0.001053788,0.0006476617,0.000742359,0.0005783229,0.001623359,0.002227758,0.001097784,0.0315762],"category_scores_gemma":[0.002459916,0.0003924861,0.0007331099,0.0005645372,0.0006842385,0.002801412,0.002598377,0.002016932,0.01177351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009747698,"about_ca_system_score_gemma":0.001380848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002717639,"about_ca_topic_score_gemma":0.006879964,"domain_scores_codex":[0.9994899,0.0000795053,0.00002736474,0.0001432693,0.0001905966,0.00006930047],"domain_scores_gemma":[0.9995177,0.0001349349,0.00003619778,0.0001609457,0.0001082177,0.00004200786],"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":[0.0004129616,0.0002507492,0.001865086,0.000520558,0.0001094275,0.0004008409,0.00009970176,0.1539754,0.00894554,0.1113659,0.1340611,0.5879926],"study_design_scores_gemma":[0.00005168711,0.0001181704,0.0004461622,0.0001081183,0.0000325956,0.0004054254,0.00004214268,0.7326561,0.008319155,0.112568,0.1452068,0.00004556893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01256385,0.002034654,0.8764673,0.001820125,0.0006755431,0.0002561885,0.004265453,0.02491309,0.07700389],"genre_scores_gemma":[0.3060227,0.002794631,0.5541314,0.003804669,0.0003324736,0.0009052564,0.01971158,0.004426821,0.1078704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0315762,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013793784853277,"score_gpt":0.2229376142580692,"score_spread":0.2091438294047922,"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."}}