{"id":"W6903131985","doi":"10.1021/es204411c.s002","title":"Analysis of Energy Use\\nand CO<sub>2</sub> Emissions\\nin the U.S. Refining Sector, With Projections for 2025","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refining (metallurgy); Refinery; Oil refinery; Asphalt; Crude oil; Energy consumption; Synthetic crude; Hydrodesulfurization; Distillation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006883309,0.0005000195,0.000194155,0.001022168,0.0002241172,0.0008348234,0.0003134673,0.0003196674,0.002762123],"category_scores_gemma":[0.00102396,0.0002956486,0.001603339,0.002354147,0.00021636,0.0005004911,0.0003768476,0.0004261691,0.0004316868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002973553,"about_ca_system_score_gemma":0.002270043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2768505,"about_ca_topic_score_gemma":0.2752249,"domain_scores_codex":[0.9996988,0.00007384543,0.00001401366,0.00006607856,0.00008963539,0.000057617],"domain_scores_gemma":[0.9996278,0.000134855,0.00005182094,0.00002160451,0.000147012,0.00001679997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003564324,0.0001248389,0.1665305,0.0002763335,0.0005767628,0.0002898531,0.0001557863,0.7808303,0.002003082,0.008953885,0.0108536,0.02904867],"study_design_scores_gemma":[0.00003652372,0.0002207392,0.373023,0.0001241742,0.0003086734,0.0001381407,0.001828472,0.5847859,0.003420932,0.00512016,0.03090222,0.00009117127],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415693,0.0007850552,0.01029686,0.000937774,0.00002978567,0.00006171953,0.02549321,0.0001888891,0.0206374],"genre_scores_gemma":[0.9630561,0.0007690804,0.004802244,0.0001459371,0.00001078645,0.0000524464,0.02316732,0.00004890067,0.007947194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2768505,"threshold_uncertainty_score":0.550478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04776024450699781,"score_gpt":0.2950637796171907,"score_spread":0.2473035351101929,"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."}}