{"id":"W2334400299","doi":"10.1021/ie200950d","title":"Integrated Energy Optimization Model for Oil Sands Operations","year":2011,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Oil sands; Production (economics); Asphalt; Environmental science; Work (physics); Synthetic crude; Key (lock); Fossil fuel; Petroleum engineering; Unconventional oil; Computer science; Energy (signal processing); Engineering; Waste management; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004572935,0.001007638,0.001035881,0.0007289127,0.0007188034,0.00157281,0.00185865,0.001847983,0.007846291],"category_scores_gemma":[0.0009893351,0.0007148801,0.0009996236,0.00104997,0.0006873502,0.001074249,0.001061864,0.001308628,0.0006992135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004029499,"about_ca_system_score_gemma":0.004419161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1768367,"about_ca_topic_score_gemma":0.1182207,"domain_scores_codex":[0.9996452,0.00006909734,0.00001398981,0.00006553993,0.0001183013,0.00008786403],"domain_scores_gemma":[0.9996932,0.0001150669,0.00003634112,0.00001415818,0.0001122755,0.00002899534],"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":[0.000009042222,0.000005253863,0.00008843392,0.000004783118,0.000003883796,0.00001356219,0.000003888206,0.9974692,0.00008484686,0.001601634,0.0001574792,0.0005580183],"study_design_scores_gemma":[0.000006726723,0.000004571605,0.00007140038,0.000001440088,0.000003484477,0.000002740062,0.000006201393,0.9988748,0.0000472738,0.000511963,0.0004664643,0.00000280911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1687597,0.000826223,0.6722091,0.001602878,0.0002437202,0.0003997741,0.006151036,0.0009746146,0.148833],"genre_scores_gemma":[0.9066179,0.0006241801,0.03526275,0.0001627797,0.00004620497,0.0005014262,0.002187904,0.0001395843,0.05445733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1768367,"threshold_uncertainty_score":0.3516147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1404724596559506,"score_gpt":0.3147622034305217,"score_spread":0.1742897437745711,"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."}}