{"id":"W2263009607","doi":"10.1021/ie050567u","title":"Modelling the Performance of a CO<sub>2</sub> Absorber Containing Structured Packing","year":2006,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structured packing; Packed bed; Work (physics); Absorption (acoustics); Materials science; Absolute deviation; Carbon dioxide; Relative standard deviation; Aqueous solution; Absorption capacity; Biological system; Thermodynamics; Mathematics; Chemistry; Chemical engineering; Chromatography; Statistics; Composite material; Engineering; Physics; Mass transfer; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007826822,0.0002817914,0.0003320912,0.0001539676,0.00006715137,0.00008037096,0.0005806575,0.0004795948,0.00001342758],"category_scores_gemma":[0.0002012547,0.0002538204,0.00009921821,0.0007095738,0.0001778184,0.0001110021,0.00011567,0.001878894,0.000004208805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002613784,"about_ca_system_score_gemma":0.00007075543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005065254,"about_ca_topic_score_gemma":0.000001084686,"domain_scores_codex":[0.9978275,0.0000199808,0.0004575957,0.0002739885,0.0006757217,0.0007451992],"domain_scores_gemma":[0.9988078,0.0003532092,0.00005399747,0.0005641995,0.0001532525,0.00006754667],"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":[0.00001221398,0.000003138235,0.0001078729,0.00006659621,0.00002275967,0.000006259419,0.00002499339,0.4914374,0.5077925,0.00003442106,0.0002449242,0.000246878],"study_design_scores_gemma":[0.0003159356,0.00001406143,0.0000301561,0.0001120683,0.000007239772,0.00001619262,0.00006592879,0.3187329,0.6801137,0.00002235499,0.0003999431,0.0001694986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974095,0.0004632129,0.00018526,0.00003235711,0.0001592069,0.0002528671,0.00001710033,0.0006363036,0.0008441418],"genre_scores_gemma":[0.9991161,0.00004246336,0.00005154555,9.518577e-7,0.0006154744,0.00005497258,0.00001632936,0.00008046492,0.00002166177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1727045,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04349373938113654,"score_gpt":0.2597393716192513,"score_spread":0.2162456322381147,"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."}}