{"id":"W4302763528","doi":"10.1016/j.ijggc.2022.103778","title":"The concentration dependent permeation properties of binary CO2 gas mixtures through carbon molecular sieve membrane","year":2022,"lang":"en","type":"article","venue":"International journal of greenhouse gas control","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Khalifa University of Science, Technology and Research","keywords":"Permeation; Membrane; Molecular sieve; Chemistry; Selectivity; Chromatography; Adsorption; Chemical engineering; Diffusion; Permeability (electromagnetism); Gas separation; Thermodynamics; Analytical Chemistry (journal); Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002501386,0.000231361,0.000251307,0.0002170555,0.000293242,0.0004019772,0.0002682973,0.0004674098,0.0007874336],"category_scores_gemma":[0.0005472187,0.0001564229,0.0002328522,0.0002827093,0.0002492159,0.0006251652,0.0001352828,0.0005032204,0.0001747503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004833759,"about_ca_system_score_gemma":0.0002566367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002422083,"about_ca_topic_score_gemma":0.001693354,"domain_scores_codex":[0.9997767,0.00003065482,0.00001393349,0.00004357573,0.00007660159,0.00005854525],"domain_scores_gemma":[0.999663,0.000115185,0.00006244417,0.00001488744,0.0001205457,0.00002391442],"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":[0.0005428183,0.00002609044,0.0004069697,0.0000667393,0.000008410814,0.00007205085,0.00003204985,0.000286653,0.9970566,0.0001298914,0.00006567404,0.001306026],"study_design_scores_gemma":[0.000004099249,0.0001258203,0.001715157,0.000002971062,0.000007185903,0.00004448341,0.0000241646,0.002620742,0.9951636,0.0000173337,0.0002673476,0.000007058902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984632,0.0004031376,0.0004548288,0.00005511549,0.00001558237,0.000003668758,0.00006945862,0.00001499164,0.0005200828],"genre_scores_gemma":[0.9986814,0.0002567908,0.0002704227,0.0000213581,0.000004323836,0.000003385045,0.00007133333,0.000004539299,0.0006864686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002422083,"threshold_uncertainty_score":0.004815996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008695493608565025,"score_gpt":0.2146056173543746,"score_spread":0.2059101237458096,"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."}}