{"id":"W3045608562","doi":"10.1002/cjce.23850","title":"Understanding bitumen partial upgrading through process modelling and simulation","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Devon Energy (Canada); Natural Resources Canada","funders":"Office of Energy Research and Development","keywords":"Asphalt; Naphtha; Oil sands; Process (computing); Partial oxidation; Process engineering; Oil refinery; Engineering; Waste management; Environmental science; Computer science; Materials science; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005482835,0.0007966696,0.001053944,0.000628796,0.0007135271,0.001431165,0.001005192,0.001571915,0.001714176],"category_scores_gemma":[0.001364187,0.0004737942,0.001002077,0.0007855652,0.0006614314,0.00110173,0.0006307428,0.000911131,0.0002258348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958709,"about_ca_system_score_gemma":0.002175726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06032857,"about_ca_topic_score_gemma":0.02455875,"domain_scores_codex":[0.999779,0.00005283367,0.00001352385,0.00003956614,0.00006051723,0.00005453898],"domain_scores_gemma":[0.9992464,0.0004688384,0.00007465246,0.00006626671,0.00010954,0.00003425644],"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":[0.000009074297,0.00001356696,0.0005197698,0.00001108165,0.000005343481,0.00001506762,0.00001202461,0.9975206,0.0006857319,0.0006153804,0.00001811198,0.0005741552],"study_design_scores_gemma":[0.000004254829,0.000009453778,0.0001556468,0.000002152179,0.000002888862,0.000002346443,0.000006758779,0.9989387,0.0003559392,0.0003604057,0.0001580106,0.000003380651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.799254,0.000518097,0.1756603,0.0004189372,0.00005481903,0.0002517223,0.001175333,0.0005383644,0.02212848],"genre_scores_gemma":[0.9838114,0.0003321614,0.013487,0.00002824185,0.000007548233,0.000146384,0.0003535105,0.00004624943,0.00178745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06032857,"threshold_uncertainty_score":0.1199548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05800053127490698,"score_gpt":0.2364457953773498,"score_spread":0.1784452641024429,"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."}}