{"id":"W2809912216","doi":"10.1111/cgf.13592","title":"Solid Geometry Processing on Deconstructed Domains","year":2018,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Connaught Fund; Adobe Systems","keywords":"Discretization; Geometry processing; Tetrahedron; Geometry; Boundary (topology); Complex geometry; Convergence (economics); Differential geometry; Solid geometry; Variety (cybernetics); Computer science; Finite element method; Mathematics; Mathematical analysis; Artificial intelligence; Polygon mesh; Engineering; Structural engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004727461,0.0005813652,0.0005228787,0.001398428,0.0005541534,0.001030611,0.002084392,0.0004943074,0.00001300712],"category_scores_gemma":[0.00003960108,0.000595567,0.0003306075,0.001448027,0.0001970185,0.0003926152,0.002686835,0.000914783,0.00008004237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000965657,"about_ca_system_score_gemma":0.0004718759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005337408,"about_ca_topic_score_gemma":0.000009595792,"domain_scores_codex":[0.9962785,0.0001361642,0.0006727777,0.001443781,0.0007791612,0.000689649],"domain_scores_gemma":[0.997153,0.0001863043,0.0004945675,0.001297507,0.0006197925,0.0002487814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005086983,0.0006045425,0.0016675,0.0004973599,0.0004037737,0.0001004337,0.0007954128,0.03370594,0.00008717762,0.5319553,0.0421548,0.3879769],"study_design_scores_gemma":[0.0004464344,0.0002854486,0.002579316,0.0003279708,0.00002305485,0.00006748282,0.000005152304,0.8595713,0.0007537276,0.1285759,0.00656866,0.0007954977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0501303,0.0002811433,0.9418037,0.0009849563,0.005292687,0.0004262912,0.00002384542,0.0005726373,0.0004844667],"genre_scores_gemma":[0.7664689,0.00006451808,0.2270972,0.003950032,0.00198059,0.00005936369,0.0002441432,0.00005672717,0.0000785688],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8258654,"threshold_uncertainty_score":0.9996496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856930456376762,"score_gpt":0.2903201763842542,"score_spread":0.2717508718204866,"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."}}