{"id":"W2494513745","doi":"10.1002/cjce.22602","title":"Modelling of binary fluidized bed reactors for the sorption‐enhanced steam methane reforming process","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Forskningsråd","keywords":"Sorbent; Fluidized bed; Steam reforming; Methane; Packed bed; Sorption; Hydrogen; Chemistry; Waste management; Superficial velocity; Trickle-bed reactor; Residence time (fluid dynamics); Hydrogen production; Chemical engineering; Materials science; Catalysis; Chromatography; Adsorption; Mechanics; Engineering; Organic chemistry; Flow (mathematics); Physics","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":[0.0009133524,0.0002459965,0.0004661106,0.0002137389,0.00007228166,0.00001285828,0.0007180809,0.0001487469,0.00001968557],"category_scores_gemma":[0.00103066,0.0001256371,0.0003274389,0.0003274376,0.00009770168,0.000268958,0.0000292332,0.0003991914,0.000001529712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004787809,"about_ca_system_score_gemma":0.0003381335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005576405,"about_ca_topic_score_gemma":0.00003125058,"domain_scores_codex":[0.998183,0.00001196169,0.000774911,0.0001534892,0.0003366766,0.0005400266],"domain_scores_gemma":[0.9978961,0.0007639126,0.0003391196,0.000337876,0.0003092022,0.0003537437],"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":[0.00006352462,0.000005110622,0.000001875064,0.0001032819,0.0001404267,0.000002891016,0.0004316999,0.05078377,0.9468695,0.0001415887,0.000005090403,0.001451225],"study_design_scores_gemma":[0.000772663,0.00002957681,4.46202e-7,0.0004606339,0.0001187404,0.0000708729,0.00007029369,0.04288503,0.9550893,0.0001408648,0.0001756463,0.0001859317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719568,0.0008415756,0.02615063,0.0004525447,0.0002987396,0.0002308589,0.00001881206,0.0000299459,0.00002001574],"genre_scores_gemma":[0.9988996,0.00001775828,0.0005780898,0.00001193957,0.0003649875,0.0000202833,0.000002755343,0.0000697507,0.00003483064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02694273,"threshold_uncertainty_score":0.5123333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084794170065569,"score_gpt":0.2292581639276121,"score_spread":0.2084102222269564,"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."}}