{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000155098,0.0009476755,0.0004657983,0.001476756,0.0005560242,0.001294935,0.0006915419,0.0008425592,0.07605956],"category_scores_gemma":[0.0001717228,0.0003676323,0.0004154253,0.001304009,0.0004233558,0.001835515,0.001424579,0.001537888,0.03741078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005991783,"about_ca_system_score_gemma":0.0005001482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000721359,"about_ca_topic_score_gemma":0.002187321,"domain_scores_codex":[0.9998048,0.000007544399,0.000005100707,0.00002169943,0.0001468647,0.00001397244],"domain_scores_gemma":[0.9999504,0.000009894485,0.000003092894,0.000008910087,0.00002291649,0.000004750927],"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":[0.00003552399,0.00006114269,0.00005575081,0.0005802111,0.000008430633,0.000130742,0.00009888934,0.001019828,0.01546778,0.05133539,0.1308019,0.8004044],"study_design_scores_gemma":[0.000003007221,0.00001687668,0.00007147028,0.0001242657,0.000004234529,0.0001989393,0.00002930531,0.0006591954,0.00465448,0.008209506,0.9860211,0.00000764466],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002259324,0.04097777,0.05866344,0.001364762,0.003645504,0.00007134956,0.0003326068,0.00113769,0.8915475],"genre_scores_gemma":[0.006140861,0.01983253,0.01210505,0.0003798374,0.0002758802,0.00003392528,0.0002443937,0.0003424148,0.960645],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07605956,"threshold_uncertainty_score":0.2544446,"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."}}