{"id":"W4403633175","doi":"10.1016/j.cej.2024.156796","title":"Kinetics, catalyst design, and hydrodynamic analysis in Fischer–Tropsch synthesis: Fixed Bed vs Fluidized Bed Reactors","year":2024,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Canada Research Chairs; Canada Foundation for Innovation","keywords":"Fischer–Tropsch process; Fluidized bed; Catalysis; Kinetics; Chemical engineering; Chemistry; Materials science; Organic chemistry; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006589756,0.0005031907,0.0008890806,0.001042564,0.00003892757,0.0001519713,0.0003918622,0.0003291101,0.0000724417],"category_scores_gemma":[0.001384793,0.0004612077,0.000425226,0.001628104,0.00005426109,0.0003183154,0.0001398876,0.001335694,0.00001615942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006152782,"about_ca_system_score_gemma":0.00004120095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004310921,"about_ca_topic_score_gemma":0.000002223072,"domain_scores_codex":[0.997296,0.00003815201,0.000903454,0.0005564533,0.0004524865,0.0007534251],"domain_scores_gemma":[0.9982712,0.0007695745,0.00009225171,0.0003729436,0.00005504837,0.0004390262],"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":[0.0000487314,0.00003411924,0.00008974103,0.0002095074,0.0008215363,0.0002078315,0.0001718355,0.01634381,0.9810064,0.00002522473,0.00002214379,0.001019121],"study_design_scores_gemma":[0.0003385769,0.00001447712,0.00003675421,0.0003196526,0.0005815281,0.0002458206,0.0000147928,0.3707308,0.6271651,0.0000131727,0.000149716,0.0003897016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469435,0.002698946,0.04927736,0.0001829562,0.0002976702,0.0001666452,0.00001377148,0.0003929799,0.00002612521],"genre_scores_gemma":[0.9886106,0.0001282251,0.01072225,0.000008719607,0.000291235,0.00003449263,0.00003665625,0.0001314625,0.00003641744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3543869,"threshold_uncertainty_score":0.999784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008010857203363872,"score_gpt":0.2160617857458087,"score_spread":0.2080509285424449,"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."}}