{"id":"W4391108121","doi":"10.1007/978-3-031-50769-4_10","title":"Optimized Schwarz Method in Time for Transport Control","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computational science and engineering","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Agence Nationale de la Recherche","keywords":"Control (management); Computer science; Artificial intelligence","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":[0.0005453993,0.001083549,0.001048893,0.0006638409,0.0005272502,0.001068757,0.001107613,0.001138837,0.01118419],"category_scores_gemma":[0.001148329,0.000369031,0.0007802299,0.0007429736,0.001062084,0.00117095,0.00125811,0.001830424,0.002407539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008341192,"about_ca_system_score_gemma":0.0007941259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001703542,"about_ca_topic_score_gemma":0.001723455,"domain_scores_codex":[0.9996861,0.0001150693,0.00001569992,0.00003511779,0.0001252652,0.00002274769],"domain_scores_gemma":[0.9996438,0.0001614135,0.00002276435,0.00005319878,0.00009491217,0.00002395518],"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":[0.0001116719,0.00003212112,0.00008717863,0.0002226972,0.00004849797,0.0000656309,0.00008521982,0.2060834,0.005966661,0.706044,0.0117888,0.06946413],"study_design_scores_gemma":[0.0000127161,0.00003212375,0.00006542665,0.00002796216,0.00001598927,0.00003627254,0.00001977251,0.8153499,0.002083536,0.1617134,0.02062498,0.00001798164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001920759,0.0006100255,0.98269,0.0002297636,0.000389504,0.00002325791,0.0000869033,0.0001986944,0.01385118],"genre_scores_gemma":[0.1894719,0.002586862,0.6793543,0.000485204,0.0006326974,0.0004107288,0.0005086563,0.002247343,0.1243023],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01118419,"threshold_uncertainty_score":0.03741485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007215478051978344,"score_gpt":0.2388544420674639,"score_spread":0.2316389640154855,"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."}}