{"id":"W2068369352","doi":"10.1002/fld.528","title":"Dispersion analysis of the least‐squares finite‐element shallow‐water system","year":2003,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Dispersion (optics); Dispersion relation; Shallow water equations; Finite element method; Polygon mesh; Mathematics; Least-squares function approximation; Galerkin method; Waves and shallow water; Applied mathematics; Mathematical analysis; Mechanics; Geometry; Physics; Thermodynamics; Optics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001708983,0.0001010971,0.0002287092,0.0003443478,0.0001045515,0.00005379628,0.0004896134,0.00004692782,0.0008855434],"category_scores_gemma":[0.0004171677,0.0000559589,0.0003262309,0.000339015,0.00005756516,0.0001173837,0.00002082348,0.0001760977,0.000005626121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004319577,"about_ca_system_score_gemma":0.00002610188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00037335,"about_ca_topic_score_gemma":0.000007039119,"domain_scores_codex":[0.9982936,0.0004895861,0.0004544107,0.0001549792,0.0004166267,0.00019084],"domain_scores_gemma":[0.9990963,0.0004471194,0.0001148407,0.0001255965,0.0001548397,0.00006127649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003136935,0.0001592839,0.6368054,0.00004006703,0.001502513,0.00002239009,0.0009752864,0.04692145,0.002982053,0.003420606,0.003706296,0.303151],"study_design_scores_gemma":[0.000740177,0.0002181423,0.03075134,0.0001459513,0.0003308588,0.00007163019,0.001208812,0.8068701,0.0350904,0.003986331,0.1203048,0.0002814755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03809743,0.0002841352,0.9539781,0.001298181,0.00335046,0.0001670851,0.00007085394,0.0000267005,0.002727117],"genre_scores_gemma":[0.8628846,0.0000325979,0.1362371,0.0005695391,0.00006320474,0.000002181964,0.00001945079,0.000003810669,0.000187545],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8247871,"threshold_uncertainty_score":0.9696079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310726989591173,"score_gpt":0.3452586864486287,"score_spread":0.3141859874895114,"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."}}