{"id":"W2145545766","doi":"10.1007/3-540-29090-7_6","title":"Automatic Near-Body Domain Decomposition Using the Eikonal Equation","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Eikonal equation; Decomposition; Domain (mathematical analysis); Domain decomposition methods; Computer science; Mathematics; Applied mathematics; Mathematical analysis; Physics; Chemistry; Thermodynamics","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":[0.0001672223,0.0006013491,0.0008106897,0.0004491608,0.0003438514,0.001067768,0.000831129,0.0004413985,0.006941129],"category_scores_gemma":[0.0004589879,0.0003650918,0.000606754,0.000406056,0.0003640996,0.001198179,0.001129011,0.001241702,0.004474984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787447,"about_ca_system_score_gemma":0.0003848673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007184302,"about_ca_topic_score_gemma":0.001199664,"domain_scores_codex":[0.9998293,0.00001992941,0.000007766012,0.00002391794,0.0001034254,0.00001567137],"domain_scores_gemma":[0.9998478,0.00004195574,0.000008075777,0.00004727663,0.00004369981,0.00001111831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001387337,0.00007651353,0.0003351929,0.0002865586,0.0000511217,0.0001336181,0.0001687852,0.09081656,0.1029023,0.08819853,0.01683038,0.7000617],"study_design_scores_gemma":[0.00002400112,0.00002535773,0.0003002579,0.00002960599,0.00001482781,0.0002352556,0.00005266575,0.8903267,0.02635762,0.05157541,0.0310321,0.00002624691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001807908,0.00008506821,0.9945949,0.00002061388,0.00003406669,0.00000893888,0.00004424512,0.0006887402,0.00271551],"genre_scores_gemma":[0.05529033,0.0003182952,0.9330176,0.00004543869,0.00003170039,0.00004557553,0.0005286825,0.0008345448,0.00988793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006941129,"threshold_uncertainty_score":0.02322042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103569554260163,"score_gpt":0.2237294536668403,"score_spread":0.213372498240824,"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."}}