{"id":"W2135863789","doi":"10.1142/s021987620400006x","title":"EFFICIENT COMPUTATION OF MAGNETO-HYDRODYNAMIC PHENOMENA IN ASTROPHYSICS BY CCUP-MOCCT METHOD","year":2004,"lang":"en","type":"article","venue":"International Journal of Computational Methods","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Interpolation (computer graphics); Computation; Applied mathematics; Poisson's equation; Grid; Magnetohydrodynamics; Instability; Mathematics; Stability (learning theory); Magneto; Physics; Mathematical analysis; Mathematical optimization; Mechanics; Computer science; Algorithm; Magnetic field; Classical mechanics; Geometry; Motion (physics)","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":[0.000270225,0.0004753638,0.0004974135,0.0004469142,0.0004290968,0.0004810642,0.0008477212,0.0005681799,0.002210712],"category_scores_gemma":[0.001007467,0.0001997508,0.0003108332,0.0005748599,0.0004423148,0.0004340511,0.0007334338,0.0005984343,0.0003372157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004105837,"about_ca_system_score_gemma":0.001204316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006383531,"about_ca_topic_score_gemma":0.004701674,"domain_scores_codex":[0.9998999,0.00002283451,0.000004636815,0.000009422162,0.00004621816,0.0000169964],"domain_scores_gemma":[0.9997004,0.00008590769,0.00003568908,0.00003384367,0.000107738,0.00003649433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001465941,0.00006160053,0.002893992,0.0003876683,0.00004321732,0.0005910891,0.0001423798,0.7830276,0.01615594,0.1087781,0.006335951,0.08143596],"study_design_scores_gemma":[0.00001066533,0.000008407329,0.0002161496,0.000005347953,0.000002403398,0.0000258039,0.000006154899,0.9956706,0.0009586333,0.001706841,0.001383862,0.000005152144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06192629,0.0004331622,0.9269379,0.0002231898,0.0001532302,0.0001200693,0.00024364,0.0008617195,0.009100786],"genre_scores_gemma":[0.664132,0.0002947279,0.3300161,0.0001102633,0.00007777858,0.0002930469,0.0002998674,0.0002790557,0.004497222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006383531,"threshold_uncertainty_score":0.01269275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00648264339301423,"score_gpt":0.3108198926513632,"score_spread":0.3043372492583489,"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."}}