{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022887,0.0001459129,0.0001221971,0.0005807633,0.0007050568,0.0001051278,0.001467581,0.00003709342,0.00007900248],"category_scores_gemma":[0.000006132089,0.0001620286,0.0001678666,0.001624277,0.00003521166,0.0002302632,0.00007292831,0.0004369153,0.000003530508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002812044,"about_ca_system_score_gemma":0.00003589418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002140067,"about_ca_topic_score_gemma":0.000006936697,"domain_scores_codex":[0.9986895,0.00009925646,0.0002103716,0.0003619235,0.0004129711,0.0002260294],"domain_scores_gemma":[0.9986733,0.0001065585,0.00005705781,0.001020041,0.00005987436,0.00008320196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001384438,0.0005893779,0.0002077105,0.00001107499,0.00005857028,0.00002321877,0.0005688497,0.002923322,0.0001258528,0.8816321,0.001402312,0.1124437],"study_design_scores_gemma":[0.0007296695,0.001209802,0.001672485,0.000009672289,0.00002516331,0.0001150921,0.0000508204,0.826931,0.003405312,0.0817938,0.08334077,0.0007164418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005150076,0.00005281427,0.9916649,0.001534974,0.0005787102,0.0001462631,0.00001915816,0.0007657409,0.00008739419],"genre_scores_gemma":[0.9852369,0.0000718751,0.01221493,0.002225794,0.00002174195,0.0001091177,0.000006772152,0.00001663755,0.00009624647],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9800868,"threshold_uncertainty_score":0.6607334,"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."}}