{"id":"W2998517757","doi":"","title":"Identification and series decomposition of anisotropic Gaussian fields","year":2005,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Series (stratigraphy); Identification (biology); Decomposition; Gaussian; Computer science; Gaussian process; Physics; Geology; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000791882,0.00009490743,0.0001176689,0.00008844656,0.00007708668,0.00006448934,0.0001494427,0.00007273891,0.0001222532],"category_scores_gemma":[0.0001791302,0.0001053341,0.0000366335,0.0001655414,0.00004822633,0.0002180483,0.00003603112,0.00009721457,0.000007314824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002383455,"about_ca_system_score_gemma":0.000009936326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002007435,"about_ca_topic_score_gemma":0.00009746388,"domain_scores_codex":[0.9989799,0.0004003906,0.0002532718,0.0001401939,0.0001138362,0.0001124453],"domain_scores_gemma":[0.9989414,0.0003075945,0.00005850154,0.0003956168,0.0002374453,0.00005943844],"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":[0.00002638362,0.000328231,0.004194148,0.0007567276,0.0001651105,0.000002654812,0.01574482,0.3060808,0.194183,0.1829575,0.003497647,0.292063],"study_design_scores_gemma":[0.0004696466,6.50871e-7,0.01552642,0.0002928227,0.00001871693,0.00001185471,0.00008068642,0.6344585,0.3312576,0.001295688,0.01632487,0.0002626361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4265996,0.0004159133,0.5631266,0.001404927,0.00005379101,0.00008775098,0.00001746809,0.0001933955,0.008100526],"genre_scores_gemma":[0.9084229,0.0002200922,0.08988612,0.000006871761,0.00001313248,0.00001032301,0.00005423098,0.00001522213,0.001371073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4818233,"threshold_uncertainty_score":0.4295402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008468787059608645,"score_gpt":0.238673107979708,"score_spread":0.2302043209200994,"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."}}