{"id":"W2329499921","doi":"10.1515/cppm-2015-0051","title":"Mathematical Modeling and Investigation on the Temperature and Pressure Dependency of Permeation and Membrane Separation Performance for Natural gas Treatment","year":2015,"lang":"en","type":"article","venue":"Chemical Product and Process Modeling","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Permeance; Arrhenius equation; Membrane; Permeation; Dependency (UML); Materials science; Thermodynamics; Gas separation; Hollow fiber membrane; Membrane technology; Mechanics; Fiber; Chemistry; Composite material; Computer science; Physical chemistry; Physics; Artificial intelligence; Activation energy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001641749,0.0001325849,0.0001506757,0.00002652369,0.0000658013,0.00003330699,0.00002637862,0.0000624991,0.000001207587],"category_scores_gemma":[0.00004054136,0.00009020063,0.00001087943,0.00004246138,0.00003629715,0.000200979,0.000004649818,0.00009512311,1.398377e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007683318,"about_ca_system_score_gemma":0.00001653822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001096528,"about_ca_topic_score_gemma":7.215193e-7,"domain_scores_codex":[0.9994085,0.000007493615,0.0001834669,0.0001979422,0.0001089745,0.00009355593],"domain_scores_gemma":[0.9997215,0.00002366415,0.00002240325,0.00007491793,0.00009426934,0.00006324914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004087468,0.00004512597,0.0002268436,0.004564671,0.00008599147,2.542703e-7,0.01330366,0.6397184,0.3329775,0.0008873343,0.0000159667,0.007765482],"study_design_scores_gemma":[0.0003284,0.00004320944,0.000002487449,0.0000743785,0.0000436144,0.000007904886,0.0001015696,0.8602323,0.1375692,0.001502644,0.000005072451,0.00008930212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961685,0.002014935,0.001033949,0.0002620801,0.00001991943,0.0003893295,0.000003416754,0.00003335177,0.00007449893],"genre_scores_gemma":[0.9990238,0.000301695,0.0004787988,0.00001561021,0.00006425793,0.00004472048,0.00003082717,0.00001236424,0.00002796049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2205139,"threshold_uncertainty_score":0.3678275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04035144445606391,"score_gpt":0.258815912275313,"score_spread":0.2184644678192491,"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."}}