{"id":"W2378307192","doi":"","title":"3D Parallel Numerical Simulation for Near-fault Endangered Field","year":2010,"lang":"en","type":"article","venue":"Jisuanji gongcheng","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Conjugate gradient method; Finite element method; Speedup; Parallel computing; Fault (geology); Field (mathematics); Matrix (chemical analysis); Computational science; Basis (linear algebra); Sparse matrix; Algorithm; Geometry; Mathematics; Physics; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002012909,0.0004310624,0.0004842396,0.0003562468,0.0006268166,0.0003496695,0.0006403307,0.0004166108,0.002948567],"category_scores_gemma":[0.0004635447,0.0002697465,0.0005060003,0.0004295803,0.0003286391,0.0005798606,0.0005126137,0.0003543865,0.0003235756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109841,"about_ca_system_score_gemma":0.0007173182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008394263,"about_ca_topic_score_gemma":0.006398568,"domain_scores_codex":[0.9998597,0.00003339838,0.000005946133,0.00002083933,0.00006232722,0.00001771276],"domain_scores_gemma":[0.9998854,0.00003388184,0.00000968932,0.00002077735,0.00003916556,0.00001100453],"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":[0.00005244817,0.00003812546,0.001949538,0.00004931873,0.0000204945,0.0001135538,0.0001184578,0.9556212,0.008109891,0.007151955,0.001351674,0.02542332],"study_design_scores_gemma":[0.000009185324,0.000006347784,0.0001276562,0.000001154256,0.000002197255,0.00001367042,0.000008584285,0.9972626,0.001077019,0.0008941888,0.0005948461,0.000002512453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1120052,0.0001143417,0.8757923,0.0002051364,0.000066657,0.0000648682,0.0002423648,0.00203552,0.009473645],"genre_scores_gemma":[0.7726443,0.0001994131,0.2211546,0.00005329031,0.00002339155,0.0002265407,0.0004672815,0.000253805,0.004977355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008394263,"threshold_uncertainty_score":0.01669085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124115783513925,"score_gpt":0.2438530798055474,"score_spread":0.2326119219704081,"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."}}