{"id":"W2041405056","doi":"10.1021/ie010248c","title":"Investigation of Low-Toxic Organic Corrosion Inhibitors for CO<sub>2</sub> Separation Process Using Aqueous MEA Solvent","year":2001,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aqueous solution; Chemistry; Amine gas treating; Corrosion; Sulfoxide; Carboxylic acid; Organic solvent; Electrochemistry; Solvent; Carbon steel; Metal; Inorganic chemistry; Nuclear chemistry; Organic chemistry; Chemical engineering; Electrode","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002057263,0.0005540279,0.0003031346,0.0001183364,0.0001397233,0.0002963439,0.0002251932,0.0002382358,0.0003841058],"category_scores_gemma":[0.0002635379,0.0001222345,0.000165534,0.00007298074,0.0002312931,0.0002934388,0.0001358937,0.0001879667,0.0002409685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001930062,"about_ca_system_score_gemma":0.0002277992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007448998,"about_ca_topic_score_gemma":0.001542425,"domain_scores_codex":[0.9998661,0.00002439049,0.000008141882,0.00001755193,0.0000635922,0.00002018828],"domain_scores_gemma":[0.9998313,0.00004575391,0.00004866537,0.000009733667,0.00004668744,0.00001777356],"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":[0.00003031118,0.000004272688,0.0001096741,0.0000430543,0.000003630325,0.00002005006,0.000007833961,0.00006134447,0.9987769,0.00002356233,0.000006266893,0.0009130441],"study_design_scores_gemma":[0.000001207581,0.00003902914,0.0002027994,0.000001071906,0.000006397104,0.00002766192,0.00000394201,0.0003117081,0.9990355,0.000003460952,0.000366216,0.000001068677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767006,0.003736991,0.01764438,0.0001007233,0.00001946628,0.00004202315,0.00006633242,0.00007325215,0.001616301],"genre_scores_gemma":[0.982747,0.002493774,0.0130133,0.00003192329,0.00001167817,0.00001848683,0.00009916785,0.00002154592,0.001563138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007448998,"threshold_uncertainty_score":0.001481116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037361144562044,"score_gpt":0.3544738048527441,"score_spread":0.2507376903965397,"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."}}