{"id":"W4311806010","doi":"10.1145/3550454.3555472","title":"Neural Brushstroke Engine","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto","funders":"","keywords":"Computer science; Space (punctuation); Artificial intelligence; Interpolation (computer graphics); Embedding; Computer graphics (images); Set (abstract data type); Painting; Generative model; Computer vision; Generative grammar; Visual arts; Image (mathematics); Art","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":[0.0005089238,0.0008130764,0.001031819,0.0007019928,0.0003197223,0.001320502,0.002635289,0.001357649,0.01462444],"category_scores_gemma":[0.001466441,0.0006104192,0.00127344,0.0006922563,0.0004862681,0.001679532,0.001151333,0.001595309,0.003985089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008550424,"about_ca_system_score_gemma":0.0006953998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004661588,"about_ca_topic_score_gemma":0.007742891,"domain_scores_codex":[0.9997477,0.00002219259,0.000009846812,0.00009066226,0.00009045241,0.00003906079],"domain_scores_gemma":[0.9998117,0.00006641989,0.00001002745,0.0000540866,0.00003756838,0.00002019523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002525933,0.0001585869,0.001309363,0.0003170744,0.0001813373,0.0002856631,0.0001064029,0.4258826,0.02047746,0.03047226,0.02452714,0.4960296],"study_design_scores_gemma":[0.00001531684,0.00002369405,0.0001350729,0.00001121833,0.00001242507,0.00005683738,0.000005220939,0.9863111,0.003481797,0.006476839,0.003461914,0.000008417202],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01716733,0.001275496,0.9531896,0.0002696355,0.0002660924,0.000118619,0.0008422199,0.01612089,0.01075014],"genre_scores_gemma":[0.5064742,0.001582886,0.4435518,0.0009149535,0.0001435674,0.0004654589,0.003605169,0.001844712,0.04141715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01462444,"threshold_uncertainty_score":0.04892367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234898382624651,"score_gpt":0.2694231774240817,"score_spread":0.2470741935978352,"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."}}