{"id":"W3213027170","doi":"10.1007/s11053-021-09950-1","title":"Relative Permeability Modeling Using Extra Trees, ANFIS, and Hybrid LSSVM–CSA Methods","year":2021,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Relative permeability; Petroleum engineering; Permeability (electromagnetism); Adaptive neuro fuzzy inference system; Support vector machine; Petroleum reservoir; Reservoir modeling; Environmental science; Soil science; Computer science; Geology; Geotechnical engineering; Porosity; Machine learning; Artificial intelligence; Fuzzy logic; Chemistry; Fuzzy control system","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":[0.001941357,0.0001942421,0.0003227939,0.0003435189,0.0003646803,0.0002079652,0.0002182637,0.000140101,0.0001201904],"category_scores_gemma":[0.001106922,0.0001698208,0.0001341329,0.001061415,0.0001680277,0.0003392148,0.000201966,0.001346206,0.000009754664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151551,"about_ca_system_score_gemma":0.00006442892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001315804,"about_ca_topic_score_gemma":0.0001415899,"domain_scores_codex":[0.9968605,0.001000166,0.0003390633,0.0004706391,0.0007738285,0.0005558172],"domain_scores_gemma":[0.9984001,0.0005176397,0.00002078122,0.0004150364,0.0004142925,0.0002321621],"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":[0.00009754978,0.00008601991,0.0009729736,0.0002879906,0.0005132094,0.0002186545,0.006175797,0.7014554,0.2187442,0.0003286039,0.0003485447,0.07077115],"study_design_scores_gemma":[0.0002091538,0.00001398673,0.0001524288,0.00003808997,0.00002180462,0.00002206213,0.001140308,0.9853761,0.00793233,0.0008664694,0.004034726,0.0001924984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594767,0.01828949,0.01867061,0.0003256309,0.00009289687,0.0001446178,0.000007968687,0.000138401,0.002853701],"genre_scores_gemma":[0.9871563,0.0007241142,0.01119863,0.0000162207,0.0001266618,0.00001059083,0.0000199563,0.0000376625,0.0007098183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2839208,"threshold_uncertainty_score":0.692509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000938450079956,"score_gpt":0.3979314187366351,"score_spread":0.2978375737286394,"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."}}