{"id":"W4406119690","doi":"10.1021/acs.iecr.4c03772","title":"Binary CO<sub>2</sub>/H<sub>2</sub>O Adsorption on CO<sub>2</sub> Capture Metal–Organic Frameworks CALF-20, Al-Fumarate and CAU-10-H Using Microscale Dynamic Column Breakthrough","year":2025,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Total; Mitacs; Canada Foundation for Innovation","keywords":"Metal-organic framework; Adsorption; Microscale chemistry; Column (typography); Chemistry; Binary number; Materials science; Chromatography; Computer science; Physical chemistry; Mathematics","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":[0.00009864356,0.0003649284,0.0002839578,0.0001696091,0.0001862995,0.0003212304,0.0004403848,0.0003501377,0.0007065355],"category_scores_gemma":[0.0001917539,0.0001859883,0.000198434,0.0001749794,0.0002687315,0.0002920609,0.000297384,0.0004267496,0.0001474191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006267534,"about_ca_system_score_gemma":0.0002101983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007066394,"about_ca_topic_score_gemma":0.01798469,"domain_scores_codex":[0.9998283,0.000005466182,0.000004487141,0.00004124488,0.00007192809,0.00004854165],"domain_scores_gemma":[0.9999014,0.00001841447,0.00002480633,0.000006455992,0.0000331586,0.00001573851],"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":[0.00002533184,0.000008288443,0.0002203432,0.00002230529,0.000004390911,0.00001115187,0.000009296313,0.0001084674,0.9989296,0.0000158269,0.00001767535,0.0006272519],"study_design_scores_gemma":[0.000002418787,0.00005036474,0.002754688,0.000001317668,0.000005375437,0.00002442895,0.00002195012,0.001977156,0.9947667,0.000009778858,0.0003796715,0.000006228703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965246,0.0002494719,0.002318777,0.00002517807,0.000006124353,0.00001734,0.0001505782,0.00005651624,0.0006512747],"genre_scores_gemma":[0.9961852,0.0002161104,0.002555336,0.00003041648,0.000004507884,0.00001754438,0.0001792984,0.00001517668,0.0007964162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007066394,"threshold_uncertainty_score":0.01405054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347850808861132,"score_gpt":0.2860495417412273,"score_spread":0.262571033652616,"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."}}