{"id":"W4414299860","doi":"10.1016/j.ces.2025.122633","title":"Towards accurate modeling of surface tension of dry gas constituents using linear gradient theory and improved volume-translated SRK EOS","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"SINOPEC Petroleum Exploration and Production Research Institute; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; China National Petroleum Corporation","keywords":"Surface tension; Saturation (graph theory); Work (physics); Density gradient; Linear density; Surface (topology); Temperature gradient; Development (topology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003295,0.0001554579,0.0002494596,0.0001162325,0.00002921962,0.00001291039,0.0002249137,0.0000770671,0.000001576566],"category_scores_gemma":[0.0001487898,0.000154518,0.00004422243,0.0005575494,0.000240536,0.0001677119,0.00007116748,0.0001508724,1.918737e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006723103,"about_ca_system_score_gemma":0.00008640313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001377356,"about_ca_topic_score_gemma":1.023885e-7,"domain_scores_codex":[0.9990629,0.000006119821,0.0002952248,0.00021481,0.0001503772,0.0002705479],"domain_scores_gemma":[0.9995463,0.00004596451,0.0000298077,0.0001974051,0.00009350388,0.00008701524],"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":[0.000008672716,0.000006936977,0.00002805494,0.0001012413,0.00001077346,4.973995e-7,0.00005889634,0.4300955,0.5691882,0.0003370513,1.033873e-7,0.0001640608],"study_design_scores_gemma":[0.0001665167,0.000004580753,0.00001195432,0.0001457745,0.00001542595,0.000001339514,0.00000707655,0.6290132,0.3703843,0.0001631575,0.000001144884,0.00008553885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7661554,0.0002877868,0.2331158,0.00000409679,0.0001911421,0.00008411928,0.000008340714,0.00008397763,0.0000693546],"genre_scores_gemma":[0.9918885,0.00001984581,0.008059363,0.000003704515,0.000008071366,0.000001010424,0.000002008378,0.00001460448,0.000002922276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2257331,"threshold_uncertainty_score":0.6301061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009253301065152464,"score_gpt":0.2348919746034606,"score_spread":0.2256386735383081,"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."}}