{"id":"W2168197547","doi":"10.1002/cjce.20008","title":"Prediction of equilibrium solubility of CO<sub>2</sub> in aqueous alkanolamines using differential evolution algorithm","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alkanolamine; Aqueous solution; Solubility; Thermodynamics; Chemistry; Simulated annealing; Work (physics); Algorithm; Computer science; Organic chemistry; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004285198,0.0003134162,0.0004000594,0.0003263462,0.000215231,0.0003886601,0.000380143,0.0007145127,0.0006626848],"category_scores_gemma":[0.001214286,0.0002412997,0.0002562179,0.0002421929,0.0003369655,0.000280756,0.0002424665,0.0003339419,0.0001020779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001355,"about_ca_system_score_gemma":0.0008025217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007152752,"about_ca_topic_score_gemma":0.003944618,"domain_scores_codex":[0.9999275,0.00002391801,0.000003985393,0.00001380493,0.00002002507,0.00001080746],"domain_scores_gemma":[0.9993123,0.000507084,0.00004624954,0.00001442896,0.00009980815,0.00002015643],"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":[0.00003226422,0.00002219284,0.001049536,0.00001829329,0.000006073928,0.00002272147,0.00001079367,0.9896374,0.003378615,0.0005642863,0.000057716,0.005200055],"study_design_scores_gemma":[0.000001442041,0.000003655484,0.00005372125,3.684858e-7,3.960314e-7,7.38875e-7,6.89455e-7,0.9992053,0.0006809059,0.00003408236,0.00001821526,4.473224e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6546545,0.0001493599,0.3402656,0.0002400281,0.00002350886,0.00007178078,0.00009229896,0.0004157974,0.004087183],"genre_scores_gemma":[0.9574705,0.00004338411,0.04137629,0.00002165996,0.000002886852,0.00006634671,0.00006038309,0.00001605801,0.0009424266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007152752,"threshold_uncertainty_score":0.01422226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272137130905246,"score_gpt":0.1844743560697606,"score_spread":0.1717529847607082,"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."}}