{"id":"W4296868162","doi":"10.1007/978-3-031-12616-1_3","title":"Iterative Solvers for Mixed Problems","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in mathematics","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Mathematics; Applied mathematics; Calculus (dental); Iterative method; Mathematical optimization; Algebra over a field; Pure mathematics; Medicine","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":[0.0006605041,0.001368679,0.0009268316,0.0007074697,0.0004645769,0.00167739,0.001472664,0.001337951,0.01828937],"category_scores_gemma":[0.003171015,0.0008255163,0.001037485,0.001137417,0.0008903832,0.001799472,0.002462357,0.002953663,0.007332275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004089715,"about_ca_system_score_gemma":0.0006059922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006831875,"about_ca_topic_score_gemma":0.00136984,"domain_scores_codex":[0.999393,0.0001782295,0.00003015875,0.00006656642,0.0002984114,0.00003366416],"domain_scores_gemma":[0.9991606,0.0004935942,0.00003630874,0.0001176221,0.0001576844,0.00003417001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001238303,0.00009582447,0.0002495014,0.0009674002,0.0001730295,0.0001374525,0.0002312187,0.1094564,0.009584482,0.3741995,0.05195756,0.4528238],"study_design_scores_gemma":[0.00004906282,0.00005280838,0.0001143466,0.0001351642,0.00003523061,0.0002095771,0.00004075069,0.6728477,0.005027654,0.2398532,0.08160527,0.00002930547],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009921219,0.001456755,0.9766876,0.0001485208,0.0002056926,0.00002669219,0.00006983772,0.0005629202,0.01984992],"genre_scores_gemma":[0.04036418,0.002251557,0.9013674,0.0002558565,0.000319889,0.000336945,0.000506558,0.00114068,0.05345697],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01828937,"threshold_uncertainty_score":0.06118399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053276955898005,"score_gpt":0.2443481289422573,"score_spread":0.2238153593832773,"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."}}