{"id":"W36299455","doi":"10.1007/978-1-4020-3610-1_39","title":"The Practice of Sequential Gaussian Simulation","year":2005,"lang":"en","type":"book-chapter","venue":"Quantitative geology and geostatistics","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Domtar (Canada)","funders":"","keywords":"Computer science; Process (computing); Context (archaeology); Simple (philosophy); Gaussian; Gaussian process; Quality (philosophy); Computer simulation; Simulation modeling; Industrial engineering; Algorithm; Mathematical optimization; Simulation; Engineering; Mathematics; Mathematical economics","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":[0.01425806,0.001110152,0.001696381,0.001598386,0.001177116,0.003325953,0.0028946,0.002179743,0.008571584],"category_scores_gemma":[0.06421656,0.001330568,0.001407997,0.002884953,0.005273517,0.003797445,0.003993915,0.005149588,0.003071441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819366,"about_ca_system_score_gemma":0.003247885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004787357,"about_ca_topic_score_gemma":0.004258174,"domain_scores_codex":[0.9848,0.01053597,0.0005581463,0.001259899,0.002549722,0.0002962925],"domain_scores_gemma":[0.9574122,0.03090177,0.0009493709,0.007584819,0.002733731,0.0004182111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007147849,0.00004805209,0.0008016274,0.0001527883,0.0001129693,0.00007451338,0.0003176608,0.1303778,0.0003452137,0.7611983,0.007760982,0.09873865],"study_design_scores_gemma":[0.00003678329,0.00001887409,0.00007192531,0.00005033057,0.00001780068,0.0000624291,0.00003163994,0.3338552,0.0004155291,0.6536428,0.01178076,0.00001604606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004922369,0.000226265,0.996167,0.00029451,0.00006453812,0.00002165535,0.00001877594,0.0001785037,0.002536542],"genre_scores_gemma":[0.09015733,0.00101248,0.9020475,0.0004582411,0.0002683888,0.0004378902,0.00014221,0.0003382924,0.005137729],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01425806,"threshold_uncertainty_score":0.0754047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347416646558786,"score_gpt":0.30343992737512,"score_spread":0.2799657609095322,"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."}}