{"id":"W3161748034","doi":"10.1002/ghg.2075","title":"Experimental investigations and developing multilayer neural network models for prediction of CO<sub>2</sub> solubility in aqueous MDEA/PZ and MEA/MDEA/PZ blends","year":2021,"lang":"en","type":"article","venue":"Greenhouse Gases Science and Technology","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Solubility; Amine gas treating; Aqueous solution; Piperazine; Chemistry; Backpropagation; Artificial neural network; Materials science; Thermodynamics; Physical chemistry; Organic chemistry; Computer science; Artificial intelligence; Physics","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":[0.0002575468,0.0001851948,0.0002853553,0.0004221442,0.0001137408,0.000036018,0.0001666682,0.000227817,4.501742e-7],"category_scores_gemma":[0.0002710021,0.0001965271,0.00002074318,0.001048723,0.001510558,0.0003446692,0.0002367569,0.0002010605,1.239568e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039938,"about_ca_system_score_gemma":0.0001175043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002018135,"about_ca_topic_score_gemma":0.0003095659,"domain_scores_codex":[0.9986435,0.00001258147,0.0003088624,0.0004638143,0.000161924,0.0004093883],"domain_scores_gemma":[0.9993753,0.00008341082,0.00005582764,0.0002951806,0.0001287372,0.00006156698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001472801,0.00003176089,0.01706204,0.0001225868,0.00002140959,0.00002494926,0.000420274,0.0124213,0.9333681,0.006670631,0.0001032579,0.02973893],"study_design_scores_gemma":[0.0004414316,0.00008715969,0.00227332,0.00006313753,0.00001272916,0.0001476262,0.000543182,0.200743,0.786427,0.009048054,0.00003448281,0.0001787885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917349,0.004623011,0.002156645,0.0003702304,0.0001048638,0.0003146202,0.00003440289,0.0006393674,0.00002195967],"genre_scores_gemma":[0.9931402,0.0004539513,0.006215189,0.00003876099,0.00001546041,0.0001117897,0.000004605061,0.00001888843,0.000001152555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1883218,"threshold_uncertainty_score":0.8014143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262232340993548,"score_gpt":0.2372613408933548,"score_spread":0.211038106794,"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."}}