{"id":"W2955880941","doi":"","title":"Nonlinearly preconditioned FETI method","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Numerical methods in engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Domain decomposition methods; Nonlinear system; Finite element method; FETI; Computer science; Applied mathematics; Partial differential equation; Mathematics; Mathematical analysis; Physics; Structural engineering; Engineering","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":[0.0002550441,0.0005382313,0.0008081752,0.0003863841,0.0004367655,0.0007652154,0.0008804968,0.001015268,0.01786201],"category_scores_gemma":[0.0008194056,0.0002205607,0.0003869381,0.0004367965,0.0006279707,0.0008452716,0.001160489,0.001559198,0.004808611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002924873,"about_ca_system_score_gemma":0.000629855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001448344,"about_ca_topic_score_gemma":0.002101524,"domain_scores_codex":[0.9998481,0.00003804742,0.000006933406,0.00002417436,0.0000670751,0.00001563905],"domain_scores_gemma":[0.9996904,0.00009069814,0.00002376887,0.00006809706,0.0001013575,0.00002572181],"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":[0.0002941671,0.0001006851,0.0006760833,0.0006613754,0.00007476351,0.0005115489,0.0002850763,0.2612587,0.03169553,0.3875312,0.0236744,0.2932365],"study_design_scores_gemma":[0.00003396686,0.0000489491,0.0002228854,0.00004634421,0.00001329122,0.0001383033,0.00003297133,0.9114816,0.008525847,0.0451539,0.03428212,0.00001987405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01136923,0.0005058969,0.9389405,0.0005931646,0.0006834504,0.00007727114,0.0004222249,0.0008603404,0.04654799],"genre_scores_gemma":[0.2817469,0.001100547,0.577503,0.0003924278,0.000588803,0.0003488159,0.001159839,0.001159978,0.1359997],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01786201,"threshold_uncertainty_score":0.05975443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493722583649909,"score_gpt":0.2587095313456406,"score_spread":0.2437723055091415,"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."}}