{"id":"W2895780298","doi":"10.1016/j.ijggc.2018.09.002","title":"The effect of nitrogen adsorption on vacuum swing adsorption based post-combustion CO2 capture","year":2018,"lang":"en","type":"article","venue":"International journal of greenhouse gas control","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Research Council Canada","keywords":"Adsorption; Vacuum swing adsorption; Nitrogen; Swing; Langmuir adsorption model; Process (computing); Combustion; Selectivity; Chemistry; Chemical engineering; Langmuir; Materials science; Process engineering; Pressure swing adsorption; Organic chemistry; Computer science; Engineering; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0006573834,0.0002139587,0.0003050429,0.00037811,0.0000275182,0.00006033346,0.0005708766,0.0001617954,0.00002303746],"category_scores_gemma":[0.0005839152,0.0001495971,0.0002764138,0.0001262693,0.0001218953,0.0001921362,0.00002253762,0.0004130953,0.00001768718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768711,"about_ca_system_score_gemma":0.0000338656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002273802,"about_ca_topic_score_gemma":0.00005507667,"domain_scores_codex":[0.9983197,0.0001059838,0.0005658008,0.0001178101,0.0006890294,0.0002017124],"domain_scores_gemma":[0.9978843,0.0006429325,0.000390205,0.0002290392,0.0007990736,0.00005441156],"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":[0.005854843,0.0001129872,0.008707658,0.00005054909,0.001455955,0.00007680467,0.0001685129,0.07036908,0.8763419,0.000778233,0.002371043,0.03371243],"study_design_scores_gemma":[0.01329388,0.006017777,0.00804244,0.0007655434,0.0004606287,0.0003405788,0.000151286,0.1264575,0.8400878,0.001576408,0.002224799,0.0005813543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837618,0.0004567131,0.01203528,0.001449286,0.001766214,0.0002297552,0.00002636465,0.0001826539,0.00009188128],"genre_scores_gemma":[0.9990246,0.0000580395,0.0001227808,0.0001175242,0.0006140991,0.000009898758,0.000004725157,0.00003997664,0.000008303829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05608841,"threshold_uncertainty_score":0.6100391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004217244280710611,"score_gpt":0.2125694255110434,"score_spread":0.2083521812303328,"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."}}