{"id":"W2102085184","doi":"10.6000/1929-6037.2012.01.01.3","title":"Mathematical Modeling of CO2/CH4 Separation by Hollow Fiber Membrane Module Using Finite Difference Method","year":2012,"lang":"en","type":"article","venue":"Journal of Membrane and Separation Technology","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permeation; Petrochemical; Membrane; Hollow fiber membrane; Fiber; Membrane technology; Volumetric flow rate; Gas separation; Separation (statistics); Work (physics); Chemistry; Flow (mathematics); Materials science; Chromatography; Chemical engineering; Environmental engineering; Process engineering; Environmental science; Engineering; Mechanics; Mechanical engineering; Mathematics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006001391,0.0002309808,0.0006061681,0.0004167374,0.00007257617,0.00002275352,0.0001537933,0.0003302222,0.0002420811],"category_scores_gemma":[0.00006027654,0.0002080153,0.0001067848,0.0003424207,0.00006428899,0.0004608602,0.00001470281,0.0003534809,0.00001087328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003363706,"about_ca_system_score_gemma":0.00003026037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002278886,"about_ca_topic_score_gemma":0.000001248955,"domain_scores_codex":[0.9982226,0.00006195938,0.0009758478,0.0001382171,0.0003157231,0.0002856542],"domain_scores_gemma":[0.9991097,0.0001014384,0.0002767068,0.0002028213,0.0001793692,0.0001299536],"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":[0.0001300911,0.0001723019,0.000111642,0.0003717812,0.0001801152,0.000004772622,0.0006404424,0.4222609,0.5712751,0.001504491,0.0002183328,0.00313015],"study_design_scores_gemma":[0.000810673,0.0001116184,0.00001457629,0.00007427498,0.0001224845,0.0001959835,0.00009448927,0.7404683,0.2560482,0.0004986451,0.001357301,0.0002034829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6522351,0.001113467,0.3452044,0.0001178444,0.0001356025,0.0001555644,0.00001129307,0.00007285102,0.0009539187],"genre_scores_gemma":[0.9799966,0.0003808009,0.01911927,0.00003203318,0.00007867435,0.000005206425,0.00002094176,0.00002835602,0.0003380799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3277615,"threshold_uncertainty_score":0.8482617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446721405883671,"score_gpt":0.3011492437093232,"score_spread":0.2766820296504865,"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."}}