{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001775607,0.0001382184,0.0001325026,0.0004678072,0.0001381872,0.0001300648,0.001151976,0.00009134901,0.00005038929],"category_scores_gemma":[0.000005835564,0.0001350711,0.0001540629,0.001239985,0.00002743629,0.0003359132,0.00002019013,0.0002287476,0.00008312442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001284175,"about_ca_system_score_gemma":0.00003255167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001051487,"about_ca_topic_score_gemma":0.0000055215,"domain_scores_codex":[0.9989337,0.0000431703,0.0001938834,0.0003616276,0.0002736317,0.0001939978],"domain_scores_gemma":[0.9983763,0.0001231099,0.00005102488,0.001286371,0.00008680145,0.00007640927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004218154,0.0001570458,0.0003815849,0.0000105529,0.00002465619,0.000002133337,0.0001411003,0.00003494582,0.00006849908,0.9728479,0.0003841951,0.02594311],"study_design_scores_gemma":[0.002000523,0.001748881,0.008133969,0.0001577287,0.00003912147,0.0000646871,0.00004072466,0.2964774,0.02484094,0.5300589,0.1348524,0.001584665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006972084,0.00002753403,0.9903331,0.0007341061,0.0004789706,0.0001987388,0.000003170788,0.000654952,0.0005973416],"genre_scores_gemma":[0.9789266,0.0001976667,0.01857894,0.001991285,0.0000166972,0.00002342304,0.000002217143,0.00001477934,0.0002484156],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9719545,"threshold_uncertainty_score":0.5508039,"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."}}