{"id":"W4220750238","doi":"10.26434/chemrxiv-2022-3pfpl","title":"Optimization of pressure-vacuum swing adsorption processes for nitrogen rejection from natural gas streams using a nitrogen selective metal organic framework","year":2022,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Methane; Adsorption; Pressure swing adsorption; Nitrogen; Chemistry; Natural gas; Carbon fibers; Analytical Chemistry (journal); Materials science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002502968,0.0004111285,0.0004372112,0.0002599358,0.0002758755,0.0004216033,0.0004512123,0.0003716725,0.0004280877],"category_scores_gemma":[0.0003318574,0.0002205334,0.000407502,0.0003380975,0.0001944794,0.0002476795,0.0002833736,0.0003981406,0.0001193479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006685048,"about_ca_system_score_gemma":0.0005392071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003420216,"about_ca_topic_score_gemma":0.007355221,"domain_scores_codex":[0.9998275,0.00001561537,0.000008568504,0.00003161888,0.00007795935,0.00003869989],"domain_scores_gemma":[0.9999342,0.00002476989,0.00001515007,0.000004311917,0.00001432352,0.000007306327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002002355,0.0001269228,0.0005060428,0.0002158428,0.00002360255,0.00009698192,0.00003584189,0.01370509,0.9754348,0.0002670957,0.00008349511,0.00930405],"study_design_scores_gemma":[0.00004011097,0.0006293085,0.003142497,0.000007424526,0.00002564618,0.00007229615,0.00004089706,0.06617334,0.9283825,0.000108202,0.001354655,0.00002309666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921746,0.0005524331,0.006085176,0.00003130913,0.000006439412,0.00003283519,0.00008940582,0.00007787413,0.0009500376],"genre_scores_gemma":[0.9892636,0.0004853326,0.009455881,0.00001151672,0.000002482683,0.00003883295,0.0001171709,0.00002193712,0.0006032719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003420216,"threshold_uncertainty_score":0.006800592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905682741354672,"score_gpt":0.2612492326737672,"score_spread":0.2421924052602204,"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."}}