{"id":"W2101753375","doi":"10.2118/140338-pa","title":"Numerical Evaluation of Hydrocarbon Additives to Steam in the SAGD Process","year":2010,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Indian Institute of Technology Kanpur; University of Washington","keywords":"Steam-assisted gravity drainage; Asphalt; Oil sands; Hydrocarbon; Petroleum engineering; Steam injection; Environmental science; Extraction (chemistry); Waste management; Geology; Engineering; Chemistry; Materials science; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.0008129625,0.0001039688,0.000229043,0.002533574,0.00001732936,0.000009048008,0.0004743082,0.0002045812,0.00004291305],"category_scores_gemma":[0.0004579781,0.00008629413,0.00004546524,0.00105984,0.00005040799,0.0001073383,0.00000650733,0.0007522578,0.000002777487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947264,"about_ca_system_score_gemma":0.0003134821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008549145,"about_ca_topic_score_gemma":0.06737936,"domain_scores_codex":[0.9989279,0.00003639003,0.0003679721,0.0000818156,0.0003412005,0.0002447306],"domain_scores_gemma":[0.9993357,0.00005092387,0.0001142769,0.0002035354,0.000200204,0.00009535275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000109319,0.0002502692,0.01809387,0.0002007358,0.0002940845,0.000261321,0.002980011,0.09512961,0.2876855,0.005867612,0.01328124,0.5758464],"study_design_scores_gemma":[0.002847865,0.002901604,0.05441869,0.0007948352,0.0002627814,0.001848233,0.00407226,0.04727595,0.7320468,0.05088772,0.101336,0.001307237],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890912,0.0001716034,0.0002472203,0.001342365,0.0001999822,0.0001160886,0.000007156949,0.00004101253,0.008783399],"genre_scores_gemma":[0.9989465,0.00002858256,0.0008513681,0.00006744656,0.00005406511,0.00002951336,6.660613e-7,0.00001734942,0.000004501196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5745391,"threshold_uncertainty_score":0.9496385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007508778887110555,"score_gpt":0.2496809348321384,"score_spread":0.2421721559450278,"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."}}