{"id":"W2587916336","doi":"10.1021/acs.energyfuels.6b03320","title":"Development of Ion Speciation Plots for Three Promising Tertiary Amine–CO<sub>2</sub>–H<sub>2</sub>O Systems Using the pH Method and the <sup>13</sup>C NMR Method","year":2017,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Ministry of Science and Technology of the People's Republic of China; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Amine gas treating; Protonation; Chemistry; Piperidine; Carbon-13 NMR; Genetic algorithm; Tertiary amine; Ion; Methylamine; Nuclear chemistry; Inorganic chemistry; Medicinal chemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004188652,0.0006079861,0.0003085774,0.000379347,0.000212172,0.0003559091,0.0004902852,0.0007075564,0.001485575],"category_scores_gemma":[0.0005937257,0.0003794526,0.0002738893,0.0002170364,0.0004091918,0.0005789211,0.000322159,0.0005799187,0.0005230807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002936838,"about_ca_system_score_gemma":0.000190489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003886512,"about_ca_topic_score_gemma":0.001271944,"domain_scores_codex":[0.9996765,0.00003649561,0.00002333791,0.00008419306,0.0001522012,0.00002730866],"domain_scores_gemma":[0.9995316,0.0001373593,0.00009073089,0.00002767848,0.0001810249,0.00003171544],"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":[0.0000391133,0.000004932288,0.0001349586,0.00003744321,0.000003196592,0.00001527946,0.00001976962,0.0000454912,0.9988866,0.00001468725,0.00001516996,0.0007833847],"study_design_scores_gemma":[0.000002077739,0.00005412455,0.0005468607,0.00000133299,0.000003916378,0.00002957212,0.00001825484,0.0004281243,0.9985953,0.000007731966,0.0003084055,0.000004293681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947983,0.001304573,0.04616159,0.0002397751,0.00008392065,0.0001806525,0.0005497013,0.0005467196,0.002950012],"genre_scores_gemma":[0.9171834,0.001580661,0.07636367,0.0002341107,0.00002607255,0.0002180772,0.0004216762,0.0001244772,0.003847911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001485575,"threshold_uncertainty_score":0.004969776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205257847824032,"score_gpt":0.2563642649528486,"score_spread":0.2343116864746083,"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."}}