{"id":"W1748396344","doi":"10.3968/6644","title":"Study of Mechanisms of Enhanced Oil Recovery by Multi-Thermal Fluids","year":2015,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Thermal fluids; Submarine pipeline; Adaptability; Enhanced oil recovery; Thermal; Steam injection; Permeability (electromagnetism); Oil viscosity; Oil production; Environmental science; Process (computing); Petroleum reservoir; Viscosity; Materials science; Geology; Geotechnical engineering; Chemistry; Thermodynamics; Thermal resistance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002199122,0.0001417403,0.0002458563,0.0001408476,0.00001477965,0.00000733871,0.00008722189,0.00005047286,0.000004658766],"category_scores_gemma":[0.00002828643,0.0001449989,0.00001241697,0.000130913,0.00001848404,0.000693966,0.00003225062,0.0000732648,0.000002370466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008935593,"about_ca_system_score_gemma":0.00003407724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004016738,"about_ca_topic_score_gemma":0.0001085117,"domain_scores_codex":[0.9989949,0.00003164248,0.0004601218,0.00016497,0.0002145146,0.0001338613],"domain_scores_gemma":[0.9996566,0.00002812124,0.00008227179,0.0001217248,0.00006306241,0.00004823818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002155343,0.0008710976,0.000805631,0.0002685942,0.00007384405,0.000004848157,0.01348649,0.2656191,0.2735295,0.0001851986,0.0001399363,0.4448003],"study_design_scores_gemma":[0.001547343,0.0004037575,0.000112789,0.00009269775,0.000004003236,5.493553e-7,0.004408414,0.00373049,0.9877364,0.0005119093,0.001202859,0.0002487767],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3916472,0.001238967,0.6052337,0.000004669557,0.0002350416,0.0001070784,0.000003862498,0.0001186738,0.00141084],"genre_scores_gemma":[0.9447302,0.001261631,0.05371222,0.000009109977,0.000005033443,0.0001491342,0.00001289086,0.00001903791,0.0001008066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7142069,"threshold_uncertainty_score":0.5912883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171581173800671,"score_gpt":0.2593256591484634,"score_spread":0.2376098474104567,"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."}}