{"id":"W2987687807","doi":"10.1145/3355089.3356543","title":"Mandoline","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Waterloo; University of Toronto","funders":"Connaught Fund; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Polygon mesh; Hexahedron; Intersection (aeronautics); Surface (topology); Grid; Topology (electrical circuits); Geometry; Regular grid; Computer science; Manifold (fluid mechanics); Volume mesh; Mesh generation; Plane (geometry); Computational geometry; Correctness; Cartesian coordinate system; Representation (politics); Algorithm; Mathematics; Finite element method; Combinatorics; Physics","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":[0.0001619121,0.0001292071,0.0001254269,0.0004096979,0.000120556,0.0001089768,0.001007227,0.00007784703,0.00005334816],"category_scores_gemma":[0.000004771987,0.0001242584,0.0001319316,0.0009936396,0.00002503281,0.0002813047,0.00002060136,0.0002008372,0.00007627731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001040733,"about_ca_system_score_gemma":0.00002471271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009264858,"about_ca_topic_score_gemma":0.000006650648,"domain_scores_codex":[0.9990278,0.00003653168,0.0001832347,0.0003291529,0.0002443649,0.0001788669],"domain_scores_gemma":[0.99852,0.000100369,0.00004639728,0.001175192,0.00008828544,0.00006978309],"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":[0.000005097908,0.0001618537,0.0003762021,0.00001280878,0.00002462808,0.000002329371,0.0001222116,0.0000526773,0.00008568775,0.9777775,0.0003187828,0.02106021],"study_design_scores_gemma":[0.001965326,0.001324478,0.007024564,0.0001358394,0.00003255557,0.00005841602,0.00002650073,0.396628,0.02369272,0.4709376,0.09690387,0.001270177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00724264,0.00002696499,0.9903419,0.0007267505,0.0004292472,0.0001806714,0.000003223101,0.0005871812,0.0004614243],"genre_scores_gemma":[0.9740379,0.0002296988,0.02349724,0.001908035,0.00001966161,0.00002065126,0.000002947439,0.00001403326,0.0002698454],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9668447,"threshold_uncertainty_score":0.5067112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902556629399657,"score_gpt":0.2779546205120217,"score_spread":0.2589290542180251,"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."}}