{"id":"W7098103438","doi":"","title":"Report on BIRS Workshop 09w5101: Advances and Perspectives on Numerical Methods for Saddle Point Problems","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Saddle point; Saddle; Field (mathematics); Compressibility; Numerical analysis; Point (geometry); Partial differential equation; Variety (cybernetics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004059047,0.0002195122,0.0003175529,0.00008934329,0.00006861888,0.00002849851,0.00009547613,0.0000651383,0.0000339752],"category_scores_gemma":[0.001207921,0.0001799268,0.00007423911,0.000193126,0.00004195805,0.0001327699,0.00001472257,0.0001879345,0.000008334217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008454239,"about_ca_system_score_gemma":0.000006811341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.339846e-7,"about_ca_topic_score_gemma":6.756407e-8,"domain_scores_codex":[0.9988645,0.00005341935,0.0003357626,0.0003513682,0.0001529283,0.0002420467],"domain_scores_gemma":[0.9970104,0.002527218,0.00006934447,0.0002306435,0.00006437929,0.00009808086],"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":[0.0000494836,0.0001574466,0.000007353176,0.0001065093,0.00003742563,0.000007291848,0.0006530359,0.2922033,0.0003360255,0.03769201,0.0002829157,0.6684672],"study_design_scores_gemma":[0.000442948,0.0007250381,0.0002381693,0.0001261082,0.00002193054,0.00007924085,0.0008587415,0.319564,0.002703392,0.6607401,0.01396157,0.0005387318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003722563,0.0009998922,0.9892058,0.0007091452,0.0001652152,0.0004210438,0.000001794826,0.0004113219,0.007713552],"genre_scores_gemma":[0.0219639,0.0001351635,0.9773082,0.0001791972,0.0000987052,0.0000634578,0.000002043255,0.0000375392,0.0002118063],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6679285,"threshold_uncertainty_score":0.7337202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05285294941360724,"score_gpt":0.394567474653909,"score_spread":0.3417145252403017,"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."}}