{"id":"W1991817691","doi":"10.1016/j.cherd.2014.06.019","title":"Process simulation using the expanded fluid model for viscosity calculations","year":2014,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Virtual Materials Group (Canada)","funders":"Virtual Materials Group","keywords":"Viscosity; Thermodynamics; Equation of state; Mixing (physics); Hydrocarbon mixtures; Asphalt; Binary number; Phase (matter); Chemistry; Vapor pressure; Absolute deviation; Hydrocarbon; Petroleum engineering; Materials science; Mathematics; Organic chemistry; Engineering; Physics; 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":[0.0004143554,0.0005768434,0.001141798,0.0005949742,0.0006662577,0.0007462587,0.001356406,0.001404039,0.005455773],"category_scores_gemma":[0.001452274,0.0004428616,0.0009459511,0.0007330801,0.0003868644,0.001106141,0.0007539525,0.001115275,0.0005164254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006611506,"about_ca_system_score_gemma":0.001404757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008960978,"about_ca_topic_score_gemma":0.004264406,"domain_scores_codex":[0.9997733,0.00006215421,0.00001302099,0.00002830454,0.00008773211,0.000035505],"domain_scores_gemma":[0.9995424,0.0002248176,0.00002871815,0.00005796647,0.0001136516,0.00003254292],"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":[0.00003691342,0.00004352718,0.000203261,0.00002545828,0.00001234543,0.00005206749,0.00002788286,0.9857749,0.00243771,0.007234577,0.000240235,0.003911102],"study_design_scores_gemma":[0.000007414983,0.000005143041,0.00002502769,0.00000119201,0.000001413806,0.000003308411,0.000001745836,0.9986677,0.0004790702,0.000516758,0.0002885359,0.000002602596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1469069,0.0002577259,0.8224731,0.0003303644,0.000205503,0.0002455778,0.0006264499,0.001665463,0.02728897],"genre_scores_gemma":[0.7811784,0.0003053186,0.2043647,0.00009101423,0.00006466265,0.0005687918,0.0007197529,0.0004519492,0.01225554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008960978,"threshold_uncertainty_score":0.01825136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788862800948476,"score_gpt":0.2419788506098186,"score_spread":0.2240902226003338,"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."}}