{"id":"W2138946060","doi":"10.1023/b:matg.0000037737.11615.df","title":"Generalized Sequential Gaussian Simulation on Group Size ν and Screen-Effect Approximations for Large Field Simulations","year":2004,"lang":"en","type":"article","venue":"Mathematical Geology","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Gaussian; Node (physics); Mathematics; Algorithm; Gaussian process; Ergodic theory; Gaussian random field; Applied mathematics; Mathematical optimization; Computer science; Mathematical analysis; 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":[0.004875174,0.0009320785,0.002015143,0.001189308,0.0009418336,0.001153349,0.003042853,0.002348397,0.004856869],"category_scores_gemma":[0.02740418,0.0009984605,0.001051694,0.001512102,0.002626219,0.002638183,0.002923072,0.001999014,0.0005284398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869563,"about_ca_system_score_gemma":0.002309368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02344123,"about_ca_topic_score_gemma":0.01546201,"domain_scores_codex":[0.9985706,0.0007671313,0.00005459059,0.0001329824,0.0002868433,0.0001878422],"domain_scores_gemma":[0.9815989,0.01407005,0.000971024,0.001247975,0.001302874,0.0008092392],"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":[0.00008787878,0.00002809428,0.0005037222,0.0000287047,0.00002070355,0.00005231911,0.00005340649,0.9349672,0.0002645777,0.06098631,0.0005364888,0.002470635],"study_design_scores_gemma":[0.000009751485,0.00000334017,0.00002615428,0.000001926425,0.000002166541,0.000002540876,0.000003400223,0.9919462,0.00004105403,0.00788231,0.0000787735,0.000002493317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03499775,0.0001929918,0.9602775,0.0004549995,0.00006126715,0.00007968012,0.0001290026,0.0003657087,0.003441148],"genre_scores_gemma":[0.7836165,0.0004190706,0.2050018,0.0003871609,0.0001212689,0.0005996109,0.0004374064,0.000438586,0.008978635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02344123,"threshold_uncertainty_score":0.04660958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269396194478801,"score_gpt":0.2785485208944647,"score_spread":0.2516089014465846,"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."}}