{"id":"W3105874006","doi":"10.11159/ffhmt20.215","title":"Parallel Finite Element Approach for large Thermal Problems Applied to Glass Bending Furnace","year":2020,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Finite element method; Thermal; Bending; Materials science; Mechanical engineering; Computer science; Structural engineering; Composite material; Engineering; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005453351,0.0006223957,0.0007147143,0.0004221922,0.000511379,0.000558662,0.0009457596,0.001162668,0.002570012],"category_scores_gemma":[0.001193954,0.0004664317,0.0007500409,0.0004151998,0.0006199846,0.0004953187,0.0008771126,0.001099238,0.0006666576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004839593,"about_ca_system_score_gemma":0.001051183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004152805,"about_ca_topic_score_gemma":0.003396667,"domain_scores_codex":[0.9997465,0.00008913383,0.00001030166,0.00002761329,0.0001073881,0.00001909249],"domain_scores_gemma":[0.9996206,0.0002153042,0.00002915688,0.00003915182,0.00007956575,0.00001613529],"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":[0.00003504253,0.00003264937,0.0002696753,0.00006905764,0.00001616875,0.00007720963,0.0001002836,0.9612114,0.006972886,0.0119692,0.0004257711,0.01882067],"study_design_scores_gemma":[0.000004040932,0.000007111779,0.0000235899,0.000003146289,0.000001260348,0.00001083534,0.000006618901,0.9972419,0.0004703034,0.001332257,0.0008971427,0.000001863023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009221539,0.0001374406,0.9866703,0.0001008274,0.00003395828,0.00005308218,0.00003452213,0.0002363463,0.003511925],"genre_scores_gemma":[0.2897312,0.0004168049,0.7003788,0.0001165861,0.0000390864,0.0005578588,0.0001889011,0.0002744214,0.008296289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004152805,"threshold_uncertainty_score":0.008597493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04735106422492452,"score_gpt":0.2710359700095452,"score_spread":0.2236849057846207,"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."}}