{"id":"W3188957028","doi":"10.2118/208452-ms","title":"Surrogate-Based Analysis of Chemical Enhanced Oil Recovery – A Comparative Analysis of Machine Learning Model Performance","year":2021,"lang":"en","type":"article","venue":"SPE Nigeria Annual International Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Support vector machine; Random forest; Decision tree; Computer science; Machine learning; Artificial intelligence; Gradient boosting; Lasso (programming language); Elastic net regularization; Linear regression; Feature selection","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":[0.003683378,0.0005908847,0.0009184119,0.0007997265,0.0002026306,0.0007890381,0.000445427,0.0009214362,0.000674687],"category_scores_gemma":[0.005130243,0.0001973237,0.0008917073,0.0006200292,0.0003209781,0.0005917484,0.0004208072,0.0007410873,0.0001521383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005179963,"about_ca_system_score_gemma":0.000575252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003540508,"about_ca_topic_score_gemma":0.001809279,"domain_scores_codex":[0.9991316,0.0004504332,0.00007036824,0.00008793991,0.0002071568,0.00005252074],"domain_scores_gemma":[0.9963344,0.002600998,0.0002765677,0.000245178,0.0004981548,0.00004456485],"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":[0.000120326,0.00006562426,0.001971232,0.00006059547,0.00005537687,0.00002952134,0.00001274248,0.9868804,0.001331211,0.0005169324,0.0001825796,0.008773399],"study_design_scores_gemma":[0.000002192356,0.00004936385,0.0005733441,0.000004820427,0.000003140357,0.000005933028,0.000004818791,0.9982669,0.0008755211,0.00014253,0.00006796222,0.000003554455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8310056,0.001282903,0.1619809,0.0004473549,0.00006583361,0.00007478468,0.0006991947,0.0006059579,0.003837301],"genre_scores_gemma":[0.9844612,0.0001403135,0.01459365,0.00002217424,0.000005406945,0.00003460819,0.000372744,0.00001796057,0.0003518955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003683378,"threshold_uncertainty_score":0.01947975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891623069008974,"score_gpt":0.2929726326184008,"score_spread":0.264056401928311,"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."}}