{"id":"W4239169682","doi":"10.2118/2003-121","title":"Methods for Modelling Full Tensor Permeability in Reservoir Simulators","year":2003,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Permeability (electromagnetism); Computer science; Reservoir simulation; Petroleum engineering; Tensor (intrinsic definition); Geology; Chemistry; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007330816,0.0001122359,0.0001321853,0.0003009028,0.00009270529,0.0000792641,0.0003233525,0.00006963356,0.00182219],"category_scores_gemma":[0.0003977564,0.0001115664,0.00005700205,0.00009788285,0.00006892929,0.0001864307,0.000004101734,0.0001554343,0.00003090048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007701694,"about_ca_system_score_gemma":0.0004300595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1521319,"about_ca_topic_score_gemma":0.06008689,"domain_scores_codex":[0.998942,0.0001112504,0.0002149344,0.0002940806,0.0001231279,0.0003145873],"domain_scores_gemma":[0.9991748,0.0002377841,0.00004576426,0.0001611331,0.0001593799,0.0002211301],"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":[0.0001174451,0.00003029769,0.3558468,0.00003559425,0.00004523043,0.00001818537,0.0004971733,0.5833386,0.00008182564,0.02016313,0.004951498,0.03487426],"study_design_scores_gemma":[0.0001637933,0.00002901602,0.002513539,0.00001510219,0.000002286081,0.000004400257,0.0001261922,0.8173226,0.0001704511,0.01097244,0.168556,0.0001241346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7806406,0.0001419124,0.1502208,0.002812513,0.000988072,0.0002417186,0.0002365428,0.00006520436,0.0646527],"genre_scores_gemma":[0.9541007,0.00001310957,0.04421758,0.0007899957,0.00003144259,0.00000541912,0.00006162322,0.000003836662,0.0007762549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3533332,"threshold_uncertainty_score":0.9990903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0472008207309232,"score_gpt":0.2932532655940364,"score_spread":0.2460524448631132,"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."}}