{"id":"W2101655885","doi":"10.1007/s11004-010-9291-8","title":"High-order Stochastic Simulation of Complex Spatially Distributed Natural Phenomena","year":2010,"lang":"en","type":"article","venue":"Mathematical Geosciences","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cumulant; Legendre polynomials; Spatial analysis; Point process; Kriging; Gaussian; Mathematics; Geostatistics; Stochastic process; Statistical physics; Spatial dependence; Algorithm; Applied mathematics; Computer science; Spatial variability; Statistics; Mathematical analysis; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000612594,0.0002931327,0.0004210104,0.0004358688,0.0003666409,0.0007672163,0.0005771319,0.0006511115,0.0008134751],"category_scores_gemma":[0.002246835,0.0002077987,0.0004726133,0.0005462335,0.0008712507,0.0006360663,0.0006515159,0.000645366,0.0001045138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007651362,"about_ca_system_score_gemma":0.0008582011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064045,"about_ca_topic_score_gemma":0.005815828,"domain_scores_codex":[0.9997241,0.00008251479,0.00001296586,0.00004097986,0.00009373819,0.00004561604],"domain_scores_gemma":[0.9989412,0.0007163429,0.00009770558,0.00007193339,0.0001199471,0.00005290885],"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":[0.000007058437,0.000007516333,0.000472252,0.000006232448,0.000003899686,0.000023964,0.00001553793,0.9895138,0.000631993,0.008158755,0.00007915375,0.001079861],"study_design_scores_gemma":[6.850689e-7,0.000001096879,0.00005915972,3.764587e-7,3.08611e-7,0.000002317036,0.000001701055,0.9989402,0.00007517891,0.0008831969,0.00003472134,0.000001123643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2571636,0.0001366866,0.7341836,0.0002915592,0.00003616434,0.0000535627,0.0002108837,0.0003792708,0.007544664],"genre_scores_gemma":[0.9636524,0.0001238145,0.03435601,0.00004363158,0.00001448941,0.00006601845,0.0001567253,0.00003783669,0.001548946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01064045,"threshold_uncertainty_score":0.02115703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535577090465526,"score_gpt":0.2545418955841851,"score_spread":0.2391861246795298,"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."}}