{"id":"W2324644055","doi":"10.1021/ef100621s","title":"Pore-Level Investigation of Heavy Oil and Bitumen Recovery Using Solvent −Aided Steam Assisted Gravity Drainage (SA-SAGD) Process","year":2010,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Steam-assisted gravity drainage; Micromodel; Petroleum engineering; Solvent; Asphalt; Oil sands; API gravity; Process (computing); Capillary action; Asphaltene; Chemical engineering; Chemistry; Porous medium; Materials science; Porosity; Geology; Composite material; Organic chemistry; Crude oil","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":[0.0001433383,0.000143413,0.0001686616,0.0002087622,0.00008754565,0.0001870622,0.0001524687,0.0001941476,0.0005825326],"category_scores_gemma":[0.0002074156,0.00009178499,0.000210048,0.0001897543,0.0002376736,0.0002777448,0.000185668,0.0002306149,0.00009307828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336123,"about_ca_system_score_gemma":0.0001107017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006400989,"about_ca_topic_score_gemma":0.0007861995,"domain_scores_codex":[0.9999156,0.000008709228,0.000005461219,0.00001842193,0.00003762966,0.000014087],"domain_scores_gemma":[0.9998976,0.00003826364,0.00002872471,0.000006989238,0.00001879472,0.000009593418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003594882,0.000009419156,0.0002777113,0.00003242265,0.000001880955,0.00003532266,0.00002587492,0.0001796039,0.9982034,0.00005001377,0.000006316634,0.001142098],"study_design_scores_gemma":[0.000003066177,0.0001223313,0.002341514,0.000001949736,0.000004938346,0.00004839323,0.00003263059,0.0025972,0.9945019,0.00002076416,0.0003205051,0.000004772498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969251,0.0002009408,0.002461564,0.00001063003,0.000002763595,0.000009570929,0.00007689487,0.0000422452,0.0002703219],"genre_scores_gemma":[0.9964651,0.0002172659,0.00294556,0.000006204986,0.00000143444,0.000007440489,0.00005971646,0.000007577593,0.0002895491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006400989,"threshold_uncertainty_score":0.001948833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956510010729951,"score_gpt":0.2421556570917225,"score_spread":0.222590556984423,"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."}}