{"id":"W2806727730","doi":"10.1016/j.ijhydene.2018.05.054","title":"Parametric study of pressure swing adsorption cycle for hydrogen purification using Cu-BTC","year":2018,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Adsorption; Pressure swing adsorption; Hydrogen; Mass transfer; Materials science; Hydrogen purifier; Volumetric flow rate; Hydrogen production; Volume (thermodynamics); Parametric statistics; Activated alumina; Chemistry; Chemical engineering; Thermodynamics; Chromatography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003541879,0.0001513453,0.0002797002,0.0002792911,0.00007693606,0.00004496294,0.0006472144,0.0001247586,0.0003805764],"category_scores_gemma":[0.0002638102,0.0001426276,0.0001990296,0.0002405189,0.00005180254,0.0002109886,0.00006038359,0.000123387,0.000003438857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008555277,"about_ca_system_score_gemma":0.00007508243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00011949,"about_ca_topic_score_gemma":0.00001461403,"domain_scores_codex":[0.9981239,0.00004060737,0.0008432827,0.0002212243,0.000610762,0.0001602312],"domain_scores_gemma":[0.9975203,0.0001780105,0.00109819,0.0002824843,0.0008397973,0.00008126415],"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":[0.0001846731,0.00136998,0.001699862,0.00002247163,0.001406212,0.000004018935,0.0003481072,0.01157908,0.9671599,0.001977356,0.0001134686,0.01413486],"study_design_scores_gemma":[0.001016336,0.0001541566,0.0001527482,0.0001084428,0.0003538274,0.00009342445,0.0003753801,0.05211964,0.9333594,0.002518983,0.00955422,0.0001934531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863215,0.0004234435,0.01249394,0.0000986677,0.0002161112,0.00007808508,0.00002571021,0.00001431306,0.0003282151],"genre_scores_gemma":[0.9965594,0.00004911844,0.00206462,0.00003016676,0.001095867,0.00001867579,0.00001247842,0.00003254067,0.0001371178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04054056,"threshold_uncertainty_score":0.5816184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606511598287755,"score_gpt":0.2898430056817873,"score_spread":0.2637778896989098,"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."}}