{"id":"W3193432011","doi":"10.1007/s10915-021-01617-6","title":"On the Choice of Robin Parameters for the Optimized Schwarz Method for Domains with Non-Conforming Heterogeneities","year":2021,"lang":"en","type":"article","venue":"Journal of Scientific Computing","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Young Scientists Fund","keywords":"Mathematics; Piecewise; Classification of discontinuities; Domain decomposition methods; Rate of convergence; Nabla symbol; Robustness (evolution); Constant (computer programming); Schwarz alternating method; Thermal diffusivity; Convergence (economics); Mathematical analysis; Applied mathematics; Omega; Computer science; Finite element method","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":[0.01263064,0.001651109,0.001547009,0.00182997,0.001213679,0.001700474,0.002384371,0.002158924,0.003557408],"category_scores_gemma":[0.03570968,0.0007838965,0.0007976323,0.0009101969,0.003479224,0.002929455,0.002743494,0.00332937,0.0008722504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008758307,"about_ca_system_score_gemma":0.001606331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002164667,"about_ca_topic_score_gemma":0.003005102,"domain_scores_codex":[0.9951484,0.003871849,0.0001537545,0.0001976678,0.0004958817,0.0001325121],"domain_scores_gemma":[0.9842353,0.01213522,0.0006602768,0.001084385,0.001402171,0.0004825128],"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":[0.001456892,0.0003092722,0.002156021,0.0009487184,0.0001437395,0.000414951,0.0006650125,0.2166903,0.01961843,0.6818163,0.007142341,0.06863798],"study_design_scores_gemma":[0.0001173454,0.0001328653,0.0005013496,0.0002920533,0.0000398767,0.0001139773,0.000190092,0.8684494,0.004450558,0.1221388,0.003456631,0.0001171371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04550016,0.001912441,0.9382902,0.001139518,0.0003141777,0.000215005,0.0001249445,0.0002760385,0.01222745],"genre_scores_gemma":[0.3587891,0.001402853,0.6339498,0.000506394,0.0002103119,0.0004042077,0.0002102213,0.00132705,0.003200044],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01263064,"threshold_uncertainty_score":0.06679803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04625211728088711,"score_gpt":0.3365514505122552,"score_spread":0.2902993332313681,"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."}}