{"id":"W2896348576","doi":"10.2118/191621-18rptc-ms","title":"Adaptive Option in Geological Modeling of Petroleum Reservoirs","year":2018,"lang":"en","type":"article","venue":"SPE Russian Petroleum Technology Conference","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Fuzzy logic; Grid; Interpolation (computer graphics); Basis (linear algebra); Computer science; Object (grammar); Function (biology); Data mining; Geology; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005127127,0.0004065595,0.0005815526,0.0008061393,0.0004794247,0.001031938,0.001038014,0.001008301,0.001668306],"category_scores_gemma":[0.001297671,0.0003893699,0.0005851525,0.0008044419,0.0009662686,0.001050044,0.0009617089,0.0007859363,0.0001554262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008347171,"about_ca_system_score_gemma":0.0007962306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01238967,"about_ca_topic_score_gemma":0.005198408,"domain_scores_codex":[0.999761,0.00009949234,0.00001300947,0.00004538189,0.00005416976,0.00002681475],"domain_scores_gemma":[0.9996815,0.0001519144,0.00005636334,0.00001542744,0.00006622422,0.00002861606],"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":[0.000008225697,0.000005759535,0.0003440687,0.000009345566,0.000005596443,0.00004437137,0.00001554419,0.98785,0.0001693008,0.009882545,0.00006966649,0.001595602],"study_design_scores_gemma":[0.00000115187,0.000002993341,0.00002759009,0.000001185613,0.000001080967,0.000003490844,0.000002743373,0.9978544,0.00002548847,0.001950622,0.000127659,0.000001540756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1309665,0.0005032297,0.8554709,0.0005675285,0.00005437064,0.00005394897,0.0002735296,0.0002333446,0.01187662],"genre_scores_gemma":[0.9647076,0.0002661781,0.02969981,0.00004386804,0.00002113006,0.00009885317,0.0001012351,0.00003310077,0.005028225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01238967,"threshold_uncertainty_score":0.02463508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481255546742575,"score_gpt":0.2593827671481439,"score_spread":0.2345702116807181,"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."}}