{"id":"W2954514997","doi":"10.1144/petgeo2018-136","title":"Flow diagnostics for naturally fractured reservoirs","year":2019,"lang":"en","type":"article","venue":"Petroleum Geoscience","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Energi Simulation; Heriot-Watt University","keywords":"Environmental geology; Regional geology; Geology; Petroleum engineering; Economic geology; Permeability (electromagnetism); Reservoir engineering; Reservoir simulation; Fluid dynamics; Computer science; Volcanism; Mechanics; Tectonics; Petroleum; Seismology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000369811,0.0001508384,0.0001709741,0.0001103381,0.0000649245,0.00007514462,0.0003707315,0.00008611731,0.00005268313],"category_scores_gemma":[0.0004537359,0.0001391468,0.00007431543,0.0002335778,0.00002538398,0.0002119584,0.00003193165,0.0001836211,0.00006533822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004840775,"about_ca_system_score_gemma":0.00001910819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004841907,"about_ca_topic_score_gemma":0.000002955606,"domain_scores_codex":[0.9989216,0.00001588092,0.0001819612,0.0002338093,0.0002633423,0.0003833691],"domain_scores_gemma":[0.9989702,0.0004885315,0.00002194472,0.0003529257,0.0000625294,0.0001039339],"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":[0.000005098599,0.000004628509,0.001127995,0.00005116731,0.000004840535,8.013104e-7,0.00006169314,0.9953168,0.001420302,0.0001394641,0.0007191438,0.001148033],"study_design_scores_gemma":[0.0003260845,0.00003613957,0.005387662,0.00001768527,0.000003866438,0.000001359593,0.0000108243,0.9327508,0.0008576378,0.0002453306,0.06018357,0.000179038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5406621,0.000619546,0.4547957,0.0001380928,0.001813404,0.0001902871,0.00002655225,0.0003746432,0.001379687],"genre_scores_gemma":[0.8899538,0.00007510177,0.1079921,0.00006247128,0.0001291869,0.00003292011,0.00001401968,0.00003139169,0.00170898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3492917,"threshold_uncertainty_score":0.567424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00900232135520488,"score_gpt":0.2457584542690555,"score_spread":0.2367561329138506,"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."}}