{"id":"W150564775","doi":"10.1016/b978-0-12-386545-8.00017-8","title":"SAGD for Heavy Oil Recovery","year":2013,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Steam-assisted gravity drainage; Petroleum engineering; Asphalt; Resource (disambiguation); Process (computing); Oil sands; Environmental science; Engineering; Process engineering; Waste management; Computer science; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001469224,0.0006232414,0.0006896515,0.000201384,0.0000580239,0.00007384914,0.0003508128,0.0006989727,0.0005058972],"category_scores_gemma":[0.00002153817,0.0006634044,0.0004362228,0.000009532558,0.00005915515,0.0001060754,0.00006537169,0.0005308973,0.000672465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002787566,"about_ca_system_score_gemma":0.000050117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.230536e-7,"about_ca_topic_score_gemma":0.00001683452,"domain_scores_codex":[0.9983568,0.000007287222,0.0005275174,0.000431502,0.0002196411,0.0004572139],"domain_scores_gemma":[0.9987953,0.0001435956,0.0001188918,0.0007072492,0.000102697,0.0001322749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009357417,0.000001982379,6.479096e-8,0.0004722188,0.0001228638,0.000003642517,0.00002094576,0.0000185058,0.0002198554,0.001863274,0.01008563,0.9871817],"study_design_scores_gemma":[0.0001336,0.00008207649,4.355642e-7,0.0007825716,0.00006279577,0.000007663852,8.335614e-7,0.00007053099,0.003526813,0.03836054,0.9562697,0.0007024491],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001754017,0.002381004,0.0004490818,0.00001336753,0.001048596,0.0005085597,0.0001313268,0.001317925,0.9941326],"genre_scores_gemma":[0.00004186689,0.001562837,0.01107638,0.0001956697,0.0005626294,0.0005658875,0.00006020449,0.0004229584,0.9855115],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9864792,"threshold_uncertainty_score":0.9995817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165414916440396,"score_gpt":0.2169092443387437,"score_spread":0.2052550951743398,"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."}}