{"id":"W2324354555","doi":"10.1021/ie300830h","title":"Investigation of Mass-Transfer Performance for CO<sub>2</sub> Absorption into Diethylenetriamine (DETA) in a Randomly Packed Column","year":2012,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Hunan University; National Natural Science Foundation of China","keywords":"Diethylenetriamine; Mass transfer; Mass transfer coefficient; Packed bed; Volumetric flow rate; Chemistry; Absorption (acoustics); Solvent; Analytical Chemistry (journal); Structured packing; Inert; Inlet; Inert gas; Chromatography; Materials science; Thermodynamics; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001687599,0.0002494538,0.0004052815,0.0003292492,0.00002494389,0.00003064715,0.0002946804,0.0006457874,0.000007213922],"category_scores_gemma":[0.0009862685,0.0002892189,0.00009331234,0.0008204574,0.0001397052,0.0002358256,0.00003826361,0.001043547,0.000003631643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004421429,"about_ca_system_score_gemma":0.0000687849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001079219,"about_ca_topic_score_gemma":0.000002277517,"domain_scores_codex":[0.9979939,0.0000281818,0.0005209733,0.000236165,0.0004912168,0.0007295627],"domain_scores_gemma":[0.9988453,0.0004742955,0.00003037068,0.0003561884,0.0001446601,0.0001491897],"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":[0.0001553567,0.00001216316,0.001891327,0.0005967881,0.00003896663,0.000001104633,0.0001521331,0.00845159,0.9872834,0.0000315675,0.0003993521,0.0009862527],"study_design_scores_gemma":[0.002901563,0.0000494033,0.0007496726,0.0001892938,0.00001226362,0.000002978516,0.00006052918,0.01128924,0.9840324,0.00005105187,0.0004055153,0.0002561175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978586,0.0004321006,0.0002342791,0.00007093668,0.0002287702,0.0007317658,0.00002324089,0.000339019,0.00008122631],"genre_scores_gemma":[0.9988724,0.0001188715,0.00009876791,0.000001184394,0.0003738368,0.0003912346,0.00006127938,0.00006569952,0.00001670662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003251029,"threshold_uncertainty_score":0.999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06070276283454797,"score_gpt":0.2772257274371677,"score_spread":0.2165229646026197,"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."}}