{"id":"W4288242631","doi":"10.1145/3306346.3322970","title":"SurfaceBrush","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Workflow; Surface (topology); Tangent; Usability; Leverage (statistics); Process (computing); Artificial intelligence; Manifold (fluid mechanics); Ribbon; Computer vision; Computer graphics (images); Geometry; Human–computer interaction; Mathematics; Mechanical engineering; Engineering","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":[0.00079594,0.001804361,0.001131697,0.001302085,0.0006636372,0.002576468,0.003823717,0.001843277,0.1065469],"category_scores_gemma":[0.004915373,0.001065498,0.001740405,0.0008814071,0.000734082,0.002966993,0.004293156,0.001906919,0.0315977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005244729,"about_ca_system_score_gemma":0.0007519302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001609572,"about_ca_topic_score_gemma":0.002348898,"domain_scores_codex":[0.9991165,0.00007784146,0.00005511228,0.0001993053,0.0004547375,0.00009645396],"domain_scores_gemma":[0.9987428,0.0003359077,0.00007044584,0.0004550579,0.0002851822,0.000110705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008550339,0.0002385235,0.001914505,0.001507697,0.0001179118,0.0005950615,0.0009386448,0.02207735,0.05927194,0.03317203,0.1943235,0.6849878],"study_design_scores_gemma":[0.0002846883,0.0005470317,0.002881973,0.0003264489,0.00009217805,0.001726835,0.0004251036,0.2668376,0.0573368,0.03724542,0.6320075,0.0002884932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01102761,0.0009234165,0.7533154,0.0003402526,0.0003824731,0.0005572509,0.003899013,0.1870061,0.04254848],"genre_scores_gemma":[0.1791693,0.001363552,0.679711,0.0009770569,0.0001213191,0.001336392,0.01627589,0.05067233,0.07037312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1065469,"threshold_uncertainty_score":0.3564349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110316854006094,"score_gpt":0.2056806985503281,"score_spread":0.1946490131497187,"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."}}