{"id":"W2960223772","doi":"10.1145/3306346.3323011","title":"TriWild","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Connaught Fund; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Polygon mesh; Curvilinear coordinates; Robustness (evolution); Computer science; Algorithm; Feature (linguistics); Computer graphics (images); Geometry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006166647,0.0007465201,0.0006268761,0.001346517,0.0006466851,0.001877484,0.002475938,0.001442212,0.02140005],"category_scores_gemma":[0.001826346,0.0006174322,0.0009604791,0.001071538,0.0005230206,0.002235294,0.002150109,0.001262757,0.01162109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004275996,"about_ca_system_score_gemma":0.0006550016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001315317,"about_ca_topic_score_gemma":0.002277573,"domain_scores_codex":[0.9993025,0.00006958792,0.0000457165,0.0001577623,0.0003634977,0.00006091782],"domain_scores_gemma":[0.9992095,0.0001174035,0.00004848385,0.0003366474,0.0002324676,0.0000553937],"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":[0.0002759727,0.0001438467,0.001904949,0.000438668,0.0001052286,0.0003912383,0.000371182,0.08996099,0.05957476,0.08313062,0.08947201,0.6742306],"study_design_scores_gemma":[0.00005705081,0.0001734387,0.0005969543,0.0000539534,0.00001996365,0.0007759078,0.00007999281,0.7145607,0.03586207,0.02801155,0.2197218,0.00008659544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004887475,0.0001513549,0.97058,0.000143186,0.0002628224,0.0001019428,0.0006972061,0.0122154,0.0109606],"genre_scores_gemma":[0.06943194,0.0002885249,0.9025713,0.0003151743,0.00007699381,0.0002747935,0.005069909,0.005233535,0.01673779],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02140005,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199079977888122,"score_gpt":0.276434958415311,"score_spread":0.2565269606264988,"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."}}