{"id":"W1989584302","doi":"10.2202/1542-6580.1000","title":"Modeling of Autothermal Steam Methane Reforming in a Fluidized Bed Membrane Reactor","year":2003,"lang":"en","type":"article","venue":"International Journal of Chemical Reactor Engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Membrane Reactor Technologies (Canada); University of British Columbia","funders":"","keywords":"Methane reformer; Steam reforming; Membrane reactor; Hydrogen; Chemical engineering; Hydrogen production; Methane; Fluidized bed; Materials science; Endothermic process; Oxygen; Chemistry; Waste management; Organic chemistry; Adsorption","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007875668,0.0002901031,0.0006765874,0.0005713141,0.000002590977,0.00001249091,0.0005834358,0.000199335,0.00006969677],"category_scores_gemma":[0.002697885,0.0002648596,0.0003577958,0.0002946497,0.00002193914,0.0004983433,0.00007274577,0.0007201798,0.000002664771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006427162,"about_ca_system_score_gemma":0.0001226694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006865183,"about_ca_topic_score_gemma":8.356711e-7,"domain_scores_codex":[0.9971145,0.00002269754,0.001401519,0.0002091951,0.0008691372,0.0003829574],"domain_scores_gemma":[0.9986095,0.000279607,0.0003601548,0.0002133852,0.0003404516,0.0001968637],"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":[0.0001465395,0.00008651648,0.00003615897,0.00006455428,0.0002158541,0.00006964707,0.0002382148,0.004232415,0.99381,0.0003468801,7.920617e-7,0.0007524032],"study_design_scores_gemma":[0.001674329,0.00002091704,0.000001443568,0.0005124509,0.00003546533,0.0003211121,0.00005809888,0.05247794,0.9443761,0.00003680261,0.0002508308,0.0002345438],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963785,0.0003678301,0.002089055,0.00003188716,0.0005915844,0.00008140811,0.000007745852,0.00004482299,0.0004071174],"genre_scores_gemma":[0.9962063,0.00005351463,0.00338047,0.000009225067,0.0002601278,0.000004777728,0.000008925934,0.00007157203,0.000005119864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04943395,"threshold_uncertainty_score":0.9999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257516964742591,"score_gpt":0.2515482027422917,"score_spread":0.2389730330948658,"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."}}