{"id":"W2312811380","doi":"10.2523/105392-ms","title":"Application of Thermal Recovery Processes in Heavy Oil CarbonateReservoirs","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPE Middle East Oil and Gas Show and Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Enhanced oil recovery; Petroleum; Oil in place; Citation; Petroleum industry; Fossil fuel; Environmental science; Computer science; Carbonate; Exploit; Waste management; Engineering; Geology; Library science; Chemistry; Environmental engineering; Computer security","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":[0.0004005249,0.0003943784,0.0003733291,0.0007750553,0.0005715962,0.0007804288,0.0004483006,0.0004922603,0.002377438],"category_scores_gemma":[0.0005497747,0.0002267595,0.0006052866,0.000631563,0.0003157453,0.0008035551,0.0007764176,0.0006554958,0.0005898747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005541586,"about_ca_system_score_gemma":0.0005134247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002552892,"about_ca_topic_score_gemma":0.004674797,"domain_scores_codex":[0.9996046,0.00004007264,0.00002278522,0.00006255901,0.0001786001,0.00009136306],"domain_scores_gemma":[0.9997546,0.00005026851,0.0000385608,0.0000315147,0.0000996765,0.00002534544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004999065,0.0002029685,0.002347755,0.0008152212,0.00003112421,0.0006944662,0.000220189,0.004572002,0.916936,0.001125709,0.001094043,0.07146069],"study_design_scores_gemma":[0.00002289347,0.0004065532,0.003103484,0.00003639564,0.00003971778,0.0002724492,0.000195831,0.008780304,0.9781963,0.0002723747,0.008650853,0.0000228011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9310057,0.009453647,0.03278952,0.0009125078,0.0003083594,0.0003210827,0.0002958904,0.0005530608,0.02436035],"genre_scores_gemma":[0.9824426,0.002740582,0.008877642,0.00007453585,0.00003027063,0.00003902631,0.00009344575,0.00005026925,0.005651641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002552892,"threshold_uncertainty_score":0.007953346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374814395351427,"score_gpt":0.2291028731722785,"score_spread":0.2053547292187643,"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."}}