{"id":"W2048900321","doi":"10.1177/0731684404028699","title":"Re-Meshing Algorithms Applied to Mould Filling Simulations in Resin Transfer Moulding","year":2004,"lang":"en","type":"article","venue":"Journal of Reinforced Plastics and Composites","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Polytechnique Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Isotropy; Materials science; Flow (mathematics); Finite element method; Perpendicular; Displacement (psychology); Position (finance); Mesh generation; Computer science; Boundary (topology); Mechanics; Algorithm; Mechanical engineering; Geometry; Mathematics; Structural engineering; Physics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002202058,0.0001052428,0.0001766118,0.0004083657,0.0001280081,0.0002029087,0.0002029186,0.00005101548,0.000002244526],"category_scores_gemma":[0.00005738153,0.00009850298,0.00003936471,0.0004677699,0.00001068181,0.0003358987,0.00004545581,0.0001956935,0.000001300645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005192661,"about_ca_system_score_gemma":0.00007081704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005496696,"about_ca_topic_score_gemma":0.00001187286,"domain_scores_codex":[0.9990003,0.00001382869,0.0004365847,0.0001279032,0.0002705226,0.0001508265],"domain_scores_gemma":[0.999277,0.0003082722,0.00008549574,0.00008226196,0.0001312307,0.0001157674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000233772,0.000009784249,0.00004423912,0.00000722898,0.00001002051,0.000009876575,0.0007296558,0.948135,0.0267255,0.02234723,0.0000107037,0.001947429],"study_design_scores_gemma":[0.001231869,0.0002519934,0.0009344453,0.000165195,0.00001434236,0.00003111628,0.0001046824,0.9407399,0.05295771,0.003114467,0.0002436583,0.0002106134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3353148,0.00005386037,0.6640615,0.0003241046,0.000109546,0.00005782019,0.000001472838,0.000008243022,0.00006855647],"genre_scores_gemma":[0.8607101,0.00001652632,0.1389787,0.0001865751,0.00008821012,8.151006e-7,0.000002727459,0.000004483129,0.00001188621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5253953,"threshold_uncertainty_score":0.4016835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506458680801139,"score_gpt":0.244850750683688,"score_spread":0.2297861638756766,"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."}}