{"id":"W2325894768","doi":"10.1021/es3035895","title":"Using Infrastructure Optimization to Reduce Greenhouse Gas Emissions from Oil Sands Extraction and Processing","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil sands; Greenhouse gas; Carbon capture and storage (timeline); Pipeline transport; Tonne; Environmental science; Fossil fuel; Unconventional oil; Fugitive emissions; Petroleum industry; Enhanced oil recovery; Software deployment; Carbon sequestration; Waste management; Business; Natural resource economics; Environmental economics; Environmental engineering; Climate change; Engineering; Carbon dioxide; Geology","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":[0.0003833495,0.0008645774,0.0006464592,0.0005667458,0.0005170152,0.001075823,0.0009810746,0.001037719,0.00474772],"category_scores_gemma":[0.00105174,0.0004690891,0.0005655104,0.0005963263,0.0009030005,0.001172241,0.000947036,0.0006703697,0.0001801133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004674491,"about_ca_system_score_gemma":0.005812286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1612714,"about_ca_topic_score_gemma":0.1615537,"domain_scores_codex":[0.9997635,0.00006006729,0.00000386044,0.0000309531,0.00003449025,0.0001071794],"domain_scores_gemma":[0.9997427,0.0001173511,0.00003713663,0.00001067731,0.0000394282,0.00005260591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002436201,0.00001562422,0.000342611,0.00001057494,0.000008917716,0.00002168944,0.000005126716,0.9960372,0.0002914392,0.001535397,0.0001501662,0.001557024],"study_design_scores_gemma":[0.00003546376,0.00004576545,0.0005172036,0.00000460942,0.00001862881,0.000006110276,0.00003951946,0.9960049,0.0003562852,0.002202728,0.0007621187,0.000006726023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7622243,0.0009372027,0.165004,0.001740944,0.0001099996,0.0002381511,0.0009630276,0.0009014687,0.06788082],"genre_scores_gemma":[0.9898973,0.0001928437,0.006636434,0.00003957872,0.000004686328,0.00003449735,0.0001206348,0.0000318247,0.003042157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1612714,"threshold_uncertainty_score":0.3206654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007450390520498537,"score_gpt":0.2377863847301898,"score_spread":0.2303359942096912,"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."}}