{"id":"W2079022376","doi":"10.1021/ef700429h","title":"Modeling of the VAPEX Process in a Very Large Physical Model","year":2007,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scaling; Petroleum engineering; Solvent; Viscosity; Dissolution; Asphalt; Process engineering; Environmental science; Oil viscosity; Work (physics); Thermodynamics; Materials science; Chemistry; Mathematics; Geology; Engineering; Physics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001510167,0.0001142417,0.0001981103,0.0000506884,0.00005820408,0.00001146747,0.000264503,0.00007503015,0.00001513552],"category_scores_gemma":[0.0000292002,0.00008509158,0.0001289252,0.000267812,0.00002689137,0.00007679421,0.00005193343,0.0001558259,8.927141e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000317568,"about_ca_system_score_gemma":0.00007166672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005800521,"about_ca_topic_score_gemma":0.00008379908,"domain_scores_codex":[0.9990515,0.000007276481,0.0002158672,0.0002007793,0.000250365,0.0002742845],"domain_scores_gemma":[0.9995798,0.00002263,0.00006711567,0.0002409029,0.00004906907,0.0000404843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004801174,0.0004752996,0.001277593,0.0001648406,0.00005436538,0.000006191422,0.001252408,0.4214873,0.5688276,0.001267863,0.000007816143,0.005130748],"study_design_scores_gemma":[0.0002538701,0.000002102028,0.000009013732,0.00007849898,0.00002368838,7.429501e-7,0.0002074232,0.7208491,0.2764393,0.001977542,0.0000612073,0.00009747082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687328,0.0001778188,0.008093123,0.00003207006,0.00001122481,0.000001801685,0.000004636339,0.00002705754,0.02291946],"genre_scores_gemma":[0.9974318,0.000008281732,0.00006010367,0.0000703118,0.00009979227,0.000004742292,0.000004171954,0.00001540094,0.002305464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2993618,"threshold_uncertainty_score":0.3469934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059535755987329,"score_gpt":0.2535348306220353,"score_spread":0.242939473062162,"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."}}