{"id":"W2115392651","doi":"10.2118/106526-stu","title":"Numerical and Laboratory Assessment of the Oil-Recovery Mechanisms in High-Pressure Air Injection (HPAI) Process","year":2006,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Flue gas; Petroleum engineering; Enhanced oil recovery; Combustion; Environmental science; Light crude oil; Secondary air injection; Reservoir simulation; Water injection (oil production); Thermal; Geology; Waste management; Engineering; Chemistry; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000470605,0.0003522563,0.0004393939,0.0003750043,0.0004182963,0.0007203498,0.0006486162,0.0008744306,0.001223226],"category_scores_gemma":[0.0008705943,0.0002052853,0.0004414107,0.0003647189,0.0006192019,0.0005119284,0.0004135936,0.00052731,0.0001141652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009280656,"about_ca_system_score_gemma":0.000702707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01141122,"about_ca_topic_score_gemma":0.006308414,"domain_scores_codex":[0.9998504,0.00002363799,0.00001288265,0.00003225733,0.00004408255,0.00003674128],"domain_scores_gemma":[0.999376,0.0003687485,0.00008826747,0.00004244662,0.00008506469,0.00003945142],"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":[0.0004028731,0.0006480502,0.01584743,0.0001573339,0.00002667293,0.0002817477,0.00009169472,0.9284642,0.0477967,0.00106021,0.0001970893,0.005026007],"study_design_scores_gemma":[0.00004372645,0.0003384581,0.003605958,0.000004668475,0.000009644593,0.00001458201,0.0000544939,0.981159,0.01452669,0.0001244774,0.0001049551,0.00001334115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958214,0.00004238464,0.002106163,0.00004482075,0.000007125604,0.00003386005,0.0001990582,0.00006809179,0.001677109],"genre_scores_gemma":[0.9985789,0.00002170442,0.001074335,0.000003744797,0.00000100625,0.00001763413,0.00006604609,0.00000237908,0.000234273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01141122,"threshold_uncertainty_score":0.02268958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005721107500116982,"score_gpt":0.2449659703925681,"score_spread":0.2392448628924511,"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."}}