{"id":"W2087998473","doi":"10.1016/j.fuel.2013.07.073","title":"Energy efficiency and emissions intensity of SAGD","year":2013,"lang":"en","type":"article","venue":"Fuel","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":180,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Carbon Management Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Intensity (physics); Energy intensity; Environmental science; Energy (signal processing); Efficient energy use; Emission intensity; Process engineering; Chemistry; Physics; Mathematics; Engineering; Organic chemistry; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003540655,0.0001747345,0.0003044943,0.0005077794,0.00019245,0.000552707,0.0002587015,0.0003652493,0.003489581],"category_scores_gemma":[0.0007611068,0.0001482518,0.0003779402,0.0007031441,0.0002400295,0.0004348406,0.0003198546,0.0001943497,0.0005188217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004679039,"about_ca_system_score_gemma":0.0001540514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002823963,"about_ca_topic_score_gemma":0.003109264,"domain_scores_codex":[0.9998595,0.00001900796,0.00000934232,0.00002825337,0.00003588262,0.00004805156],"domain_scores_gemma":[0.9994946,0.0002046232,0.00007584965,0.00004931401,0.0001369178,0.00003870565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003942334,0.0006437089,0.6843062,0.0001715362,0.0004663659,0.0008908193,0.0002714191,0.09768929,0.152266,0.005574437,0.001070874,0.05270703],"study_design_scores_gemma":[0.00004083656,0.0005711467,0.8294606,0.00002387589,0.0001539264,0.0004629488,0.0006803142,0.0750308,0.08638784,0.002840436,0.004303107,0.00004423337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944741,0.000101564,0.001196808,0.00002659096,0.000003412528,0.000004503112,0.000274053,0.00002344398,0.003895465],"genre_scores_gemma":[0.9985982,0.00003078065,0.0001506003,0.00001069996,0.00000162333,0.000002551945,0.0002706308,0.000009743521,0.0009251235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003489581,"threshold_uncertainty_score":0.01167381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00425014293161657,"score_gpt":0.1733925353866621,"score_spread":0.1691423924550455,"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."}}