{"id":"W2471087525","doi":"10.1144/petgeo2015-078","title":"Grid-free petroleum reservoir characterization with truncated pluri-Gaussian simulation: Hekla case study","year":2016,"lang":"en","type":"article","venue":"Petroleum Geoscience","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"University of Alberta","keywords":"Geology; Reservoir modeling; Metamorphic petrology; Igneous petrology; Telmatology; Hydrogeology; Gaussian; Petroleum engineering; Grid; Economic geology; Petrology; Engineering geology; Seismology; Geotechnical engineering; Volcanism; Tectonics; Geodesy; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007158157,0.0003580123,0.0003262566,0.0003524358,0.0002685713,0.0001601046,0.0005802313,0.00009710779,0.00008365871],"category_scores_gemma":[0.0002350056,0.0002476315,0.00006016094,0.0007593895,0.0001026861,0.0008440012,0.000100954,0.0002020847,0.00003765172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162428,"about_ca_system_score_gemma":0.00004975911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007323019,"about_ca_topic_score_gemma":0.00008253979,"domain_scores_codex":[0.9975969,0.0001324145,0.0004573278,0.0005530833,0.0006641902,0.0005961256],"domain_scores_gemma":[0.9981998,0.0002659413,0.00009119085,0.001050174,0.0001302144,0.0002626878],"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":[0.00003415822,0.00006543814,0.01272327,0.00002694572,0.00002412175,0.000357126,0.0003120647,0.9806142,0.004456716,0.0000257371,0.00002137982,0.001338792],"study_design_scores_gemma":[0.00209976,0.0002939848,0.03412776,0.00006006435,0.00002522449,0.0002205821,0.0002343166,0.958361,0.0003454093,0.00002164527,0.003734159,0.0004761388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6871615,0.00001848271,0.3111163,0.0001726294,0.0004234476,0.0001862292,0.00003701344,0.0005871687,0.0002971911],"genre_scores_gemma":[0.9949793,0.00001038624,0.003202038,0.00001774081,0.0002455001,0.0000669705,0.00001475689,0.00006632572,0.001396956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3079143,"threshold_uncertainty_score":0.9999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825242569612909,"score_gpt":0.2610730887975496,"score_spread":0.2428206631014205,"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."}}