{"id":"W2012273178","doi":"10.1002/cjce.5450790313","title":"On the prediction of surface tension for multicomponent mixtures","year":2001,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Surface tension; Ternary operation; Thermodynamics; Binary number; Aqueous solution; Molecular dynamics; Materials science; Maximum bubble pressure method; Surface (topology); Tension (geology); Chemistry; Physical chemistry; Computational chemistry; Physics; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000824936,0.0006246855,0.0006902306,0.0008258192,0.0003237907,0.0005551097,0.0007641703,0.0004909722,0.000541067],"category_scores_gemma":[0.002400656,0.0003706623,0.0004116379,0.0003658332,0.000475543,0.0006617287,0.000470777,0.0006016713,0.0001868387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006578398,"about_ca_system_score_gemma":0.0006820403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003706732,"about_ca_topic_score_gemma":0.00192824,"domain_scores_codex":[0.9996027,0.00008704589,0.000016966,0.0000867483,0.0001819973,0.00002464158],"domain_scores_gemma":[0.9992082,0.0004949796,0.00006610045,0.00005839294,0.0001366013,0.0000357317],"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":[0.0001436881,0.00009171164,0.005707065,0.00006847223,0.00005211229,0.000144394,0.00007035277,0.8457193,0.078378,0.005231,0.0002235606,0.0641703],"study_design_scores_gemma":[0.000004098432,0.00000995741,0.0001792596,8.442281e-7,0.000001665911,0.000006891273,0.000001267596,0.9938878,0.005626729,0.0002060597,0.00007299395,0.000002502642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.372323,0.0003005715,0.6251514,0.00007873104,0.00002819659,0.00005248611,0.00005660615,0.000953386,0.001055706],"genre_scores_gemma":[0.9103482,0.0001527968,0.08861036,0.00002032976,0.0000139627,0.00005024649,0.00007409113,0.0001031227,0.0006267038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003706732,"threshold_uncertainty_score":0.007370293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067441251062762,"score_gpt":0.1818617776627902,"score_spread":0.1711873651521626,"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."}}