{"id":"W2789383543","doi":"10.1002/cjce.23179","title":"Investigating the efficiency of gas re‐injection process of an oil field using combined integrated field simulation and intelligent proxy model application","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Oil field; Fuzzy logic; Boundary value problem; Environmental science; Computer science; Simulation; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006215468,0.0005676648,0.000531422,0.0006340267,0.0002205963,0.0005835259,0.0004459388,0.0005596712,0.0008794232],"category_scores_gemma":[0.001014104,0.0002558508,0.0004227661,0.0004569523,0.000267751,0.0007200042,0.0003083416,0.0003420445,0.00006802062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008204166,"about_ca_system_score_gemma":0.0005422819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01478396,"about_ca_topic_score_gemma":0.007257464,"domain_scores_codex":[0.9998592,0.00004604062,0.00001047546,0.00002814235,0.00003083266,0.00002526538],"domain_scores_gemma":[0.9992912,0.0004398726,0.00007139793,0.00004888881,0.0001180295,0.00003066242],"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":[0.0001132764,0.0001241699,0.003541172,0.0000357427,0.00001817257,0.00003662934,0.00002178,0.9851387,0.005129416,0.0004171019,0.00004571247,0.0053781],"study_design_scores_gemma":[0.000003577096,0.00003847784,0.0002770954,7.663669e-7,0.000003312184,0.000001584094,0.000005135725,0.9981109,0.001504227,0.00003301669,0.00002018778,0.00000176264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665286,0.00007296025,0.03083007,0.00004200128,0.000008966294,0.00004112524,0.00007876727,0.0002007043,0.002196775],"genre_scores_gemma":[0.995197,0.00002377487,0.004470728,0.000003574536,7.459944e-7,0.00001454832,0.00003749915,0.000005860441,0.0002463425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01478396,"threshold_uncertainty_score":0.02939582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225969951277116,"score_gpt":0.2788689569883399,"score_spread":0.2566092574755687,"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."}}