{"id":"W2063964519","doi":"10.1145/2801134","title":"Modeling Character Canvases from Cartoon Drawings","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Rendering (computer graphics); Computer science; Character (mathematics); Gestalt psychology; Segmentation; Artificial intelligence; Simplicity; Computer graphics (images); Computer vision; Perception; Mathematics; Geometry","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":[0.0003793564,0.00125093,0.0005930883,0.000827199,0.0003364339,0.002187323,0.001242894,0.0009265142,0.008144896],"category_scores_gemma":[0.002007398,0.001032161,0.001318698,0.0005103477,0.0007566055,0.001032175,0.002072482,0.001106423,0.001648287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005116877,"about_ca_system_score_gemma":0.0004862213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002102255,"about_ca_topic_score_gemma":0.003845829,"domain_scores_codex":[0.9996494,0.00006803519,0.00001556503,0.00008406129,0.0001413171,0.00004149245],"domain_scores_gemma":[0.9994721,0.0002049768,0.00004632465,0.0001417679,0.00008561533,0.00004912355],"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":[0.000394788,0.00009980574,0.002890652,0.001043973,0.0001294004,0.002083034,0.001947885,0.4946958,0.1240697,0.06405385,0.0129201,0.295671],"study_design_scores_gemma":[0.00003140479,0.00009091385,0.0009730558,0.00008995122,0.00003452343,0.0009095925,0.0001778032,0.9187542,0.02827079,0.01033086,0.04027196,0.00006492402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02856154,0.0001742618,0.9607117,0.00008002662,0.00004415563,0.0001354471,0.000297737,0.004780737,0.005214307],"genre_scores_gemma":[0.2999239,0.0005208215,0.689996,0.00007190954,0.00002655624,0.0002281709,0.0009992018,0.001842372,0.006390959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008144896,"threshold_uncertainty_score":0.02724737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209861166329684,"score_gpt":0.2294276363801941,"score_spread":0.1873290247168972,"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."}}