{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008894424,0.0001722656,0.0001821431,0.0002271682,0.0001041557,0.00004952371,0.0001968661,0.0001126901,0.00003423061],"category_scores_gemma":[0.00001449271,0.0001753869,0.0001563067,0.0003147313,0.0000189088,0.0001592801,0.000002305277,0.0003107054,0.00005306384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004222279,"about_ca_system_score_gemma":0.0000194904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007717136,"about_ca_topic_score_gemma":0.0004230329,"domain_scores_codex":[0.9991464,0.00001655435,0.0002017121,0.0001997985,0.0002246343,0.0002109157],"domain_scores_gemma":[0.9992606,0.0000424068,0.00001175909,0.00045616,0.00007440826,0.0001546548],"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":[0.000006449999,0.0000285608,0.00004664082,0.00000595644,0.0001185529,0.000003677952,0.0005134527,0.9941281,0.0002863134,0.00001250192,0.0000848998,0.004764881],"study_design_scores_gemma":[0.0002314243,0.00001864656,0.00001617698,0.00003189279,0.0001294249,0.000001491567,0.0001572295,0.9958671,0.001122675,0.001832096,0.0003675689,0.0002242453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4396793,0.0001902812,0.5590949,0.0002002199,0.00026689,0.00003512137,0.00005294559,0.0003509793,0.0001294189],"genre_scores_gemma":[0.9977922,0.0002208,0.00155928,0.0001978582,0.00008805878,0.00001621436,0.00003518445,0.00004224133,0.00004812002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.558113,"threshold_uncertainty_score":0.7152071,"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."}}