{"id":"W2916515722","doi":"10.12972/ksmer.2017.54.5.521","title":"Analysis on the SAGD Simulation Using Characteristic Variable of Fracture System in Fractured Carbonate Reservoirs","year":2017,"lang":"en","type":"article","venue":"Journal of the Korean Society of Mineral and Energy Resources Engineers","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Porosity; Petroleum engineering; Carbonate; Permeability (electromagnetism); Geology; Fracture (geology); Matrix (chemical analysis); Mineralogy; Geotechnical engineering; Materials science; Composite material; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004398664,0.0004480648,0.000670462,0.0006587216,0.0007128872,0.0006210749,0.0007022982,0.001163759,0.001978456],"category_scores_gemma":[0.001503367,0.0003051865,0.0007613044,0.0005833688,0.0006884955,0.0005021232,0.000568412,0.0007366647,0.00008803295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000720972,"about_ca_system_score_gemma":0.0009365206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03139132,"about_ca_topic_score_gemma":0.01633896,"domain_scores_codex":[0.9998381,0.00004163892,0.000008840683,0.00001932831,0.00003552922,0.00005655359],"domain_scores_gemma":[0.999227,0.000471993,0.00007355621,0.00003080976,0.0001328292,0.00006371121],"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":[0.00005745728,0.00004676829,0.004076518,0.00003830763,0.00001357835,0.0001401272,0.00004778686,0.9918616,0.001143855,0.001011129,0.0001716891,0.001391204],"study_design_scores_gemma":[0.000007967295,0.0000145337,0.0006309367,0.000003521454,0.000004141013,0.000006360471,0.00003415948,0.9988251,0.0002659525,0.0001158551,0.00008749808,0.000004011924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788178,0.0001858621,0.01263923,0.0002887548,0.0000278053,0.00003545536,0.0004155276,0.0001128837,0.007476744],"genre_scores_gemma":[0.9961395,0.00008677012,0.002802528,0.00002494263,0.000004582236,0.00002953007,0.0001632745,0.00002124952,0.0007276494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03139132,"threshold_uncertainty_score":0.06241721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008730399117688753,"score_gpt":0.2106202140559364,"score_spread":0.2018898149382477,"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."}}