{"id":"W2098779819","doi":"10.1111/cgf.12307","title":"Analogy‐driven 3D style transfer","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Analogy; Computer science; Set (abstract data type); Process (computing); Simple (philosophy); Transfer of learning; Artificial intelligence; Transformation (genetics); Programming language","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":[0.0006675568,0.0005619338,0.0005277613,0.0007940018,0.0004049788,0.001351698,0.00164697,0.001064602,0.01195624],"category_scores_gemma":[0.002222736,0.0004146783,0.001066126,0.0005164003,0.0009125094,0.001299788,0.002786565,0.001013344,0.001577187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007072797,"about_ca_system_score_gemma":0.0002946474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007770546,"about_ca_topic_score_gemma":0.0006329733,"domain_scores_codex":[0.9995137,0.00008900725,0.00002116367,0.00008848108,0.0002393452,0.00004821592],"domain_scores_gemma":[0.9992662,0.0002118709,0.00004876517,0.00030975,0.0001026268,0.00006077489],"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":[0.0001993024,0.0002484488,0.001559093,0.000216951,0.00007673004,0.0005016389,0.0005334172,0.5576372,0.08629865,0.1108881,0.005017858,0.2368226],"study_design_scores_gemma":[0.00002156499,0.00006457185,0.0004069787,0.000009610112,0.000006625519,0.000101668,0.0000392829,0.9511184,0.008885949,0.03622323,0.003101913,0.00002028732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09554128,0.0001906712,0.880715,0.0002542515,0.0001396722,0.0001838176,0.0001827104,0.003327018,0.01946561],"genre_scores_gemma":[0.8402009,0.000121167,0.1521904,0.000175186,0.00003807804,0.0001369891,0.0002420264,0.0004376582,0.006457491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01195624,"threshold_uncertainty_score":0.03999764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009397812953508665,"score_gpt":0.2034847414835258,"score_spread":0.1940869285300171,"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."}}