{"id":"W3212191017","doi":"10.1021/acsomega.1c05169","title":"Applied Artificial Neural Network for Hydrogen Sulfide Solubility in Natural Gas Purification","year":2021,"lang":"en","type":"article","venue":"ACS Omega","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Chulalongkorn University","keywords":"Solubility; Hydrogen sulfide; Artificial neural network; Ionic liquid; Amine gas treating; Mean squared error; Chemistry; Materials science; Biological system; Computer science; Organic chemistry; Mathematics; Artificial intelligence","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":[0.0003046441,0.0001408981,0.0002172546,0.00004048092,0.00006435336,0.00004466559,0.0001375345,0.0001531946,0.00001333071],"category_scores_gemma":[0.0002067056,0.0001525462,0.00006603895,0.0003035043,0.00001719748,0.00008029152,0.00002573986,0.0002749029,0.00001994041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054525,"about_ca_system_score_gemma":0.00004747012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008010504,"about_ca_topic_score_gemma":0.00008136354,"domain_scores_codex":[0.9988464,0.00003325732,0.0003496243,0.0002457228,0.0001303271,0.0003947043],"domain_scores_gemma":[0.9993813,0.0001688749,0.00003520207,0.000295308,0.00005396117,0.00006533146],"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":[0.0003829745,0.0001052123,0.001172478,0.00008107489,0.00008727445,0.00002497689,0.0002680921,0.3801886,0.4974634,0.005672912,0.01795852,0.09659448],"study_design_scores_gemma":[0.00295912,0.00003654441,0.002800728,0.00004279905,0.00006300901,0.00001334405,0.000129848,0.4530008,0.4897945,0.01155236,0.03877454,0.0008324236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958159,0.0005067909,0.0005533897,0.0005506587,0.001058308,0.0005291785,0.0000107634,0.0001863785,0.0007886589],"genre_scores_gemma":[0.9980831,0.000006012467,0.0005179686,0.00009421922,0.0009251152,0.0001273906,0.00008521228,0.00003043681,0.0001305347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09576206,"threshold_uncertainty_score":0.6220655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132230457960097,"score_gpt":0.2348417784928842,"score_spread":0.2135194739132832,"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."}}