{"id":"W2900119318","doi":"","title":"Robust domain decomposition methods in industrial context applied to large business cases","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Computer science; Context (archaeology); Decomposition; Domain (mathematical analysis); Mathematics; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002816842,0.0007705145,0.0010261,0.001435128,0.0003835961,0.00144758,0.0006796796,0.001157763,0.003085095],"category_scores_gemma":[0.00962144,0.0004408356,0.0008147361,0.001297308,0.000705137,0.0009803907,0.001167401,0.001573061,0.0003777404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007842675,"about_ca_system_score_gemma":0.0009619334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005029027,"about_ca_topic_score_gemma":0.004184308,"domain_scores_codex":[0.9986614,0.0008316833,0.0000560922,0.0001797923,0.0001747468,0.00009630372],"domain_scores_gemma":[0.9934692,0.005324048,0.0003020405,0.0002970177,0.0004610392,0.0001465821],"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":[0.0001662337,0.0001205363,0.001119614,0.0001728852,0.00004643464,0.0001663092,0.0001031741,0.9136626,0.001467087,0.01521605,0.001660303,0.06609867],"study_design_scores_gemma":[0.000004724723,0.000006563751,0.0001839355,0.000008455533,0.000003840359,0.00000784789,0.00002281249,0.9948154,0.0002071667,0.004494391,0.00024253,0.000002256537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09328314,0.0009790391,0.9005612,0.0005220546,0.00005368733,0.00007049532,0.0001946197,0.0003022469,0.004033559],"genre_scores_gemma":[0.744055,0.0006336199,0.2518758,0.00005656877,0.0000691465,0.0001234071,0.0004851658,0.0001569192,0.002544276],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005029027,"threshold_uncertainty_score":0.01489705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05611385064577927,"score_gpt":0.3145296019252195,"score_spread":0.2584157512794402,"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."}}