{"id":"W2230543304","doi":"10.1088/1742-2132/12/4/702","title":"A simulation research on evaluation of development in shale oil reservoirs by near-miscible CO<sub>2</sub> flooding","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysics and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Petroleum engineering; Oil shale; Shale oil; Flooding (psychology); Shell in situ conversion process; Tight oil; Economic shortage; Environmental science; Unconventional oil; Petroleum; Geology; Shale gas; Fossil fuel; Waste management; Engineering","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":[0.002052095,0.0001014317,0.0002150631,0.0003337174,0.00003732755,0.0000469277,0.0000862961,0.00005849999,0.000001655636],"category_scores_gemma":[0.0001579183,0.00009707598,0.00004019419,0.0005202267,0.00001453658,0.000236097,0.00001823205,0.0002802274,0.000003085753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844357,"about_ca_system_score_gemma":0.0001011423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006101025,"about_ca_topic_score_gemma":0.000005242712,"domain_scores_codex":[0.998472,0.00005121922,0.0004039294,0.00008753561,0.0008062244,0.0001790412],"domain_scores_gemma":[0.9992391,0.00009963763,0.00006653984,0.00009401281,0.0003838145,0.0001168617],"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":[0.00001296496,0.00002857104,0.0001111775,0.00005238165,0.00003991183,0.00000200014,0.000931985,0.9627395,0.03233933,0.0000118862,0.00007623233,0.003654002],"study_design_scores_gemma":[0.0006190537,0.00005240033,0.0004267862,0.0001551032,0.00001488582,8.647197e-7,0.000224027,0.9683437,0.02974487,0.00007393776,0.0002494471,0.00009490164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976227,0.0004021698,0.001579746,0.00002791864,0.00008305248,0.00003993924,0.000001124664,0.00001156148,0.0002317988],"genre_scores_gemma":[0.9995634,0.0000891263,0.0002458599,0.000002029686,0.0000645422,0.000004725239,0.000005193178,0.0000190743,0.000006024714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005604174,"threshold_uncertainty_score":0.3958644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06926099754686241,"score_gpt":0.3130305607169498,"score_spread":0.2437695631700874,"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."}}