{"id":"W2793699644","doi":"10.1002/cjce.23189","title":"Modelling diffusion and reaction for inert‐core catalyst in batch and fixed bed reactors","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Inert; Thiele modulus; Catalysis; Mass transfer; Isothermal process; Diffusion; Chemistry; Core (optical fiber); Chemical engineering; Inert gas; Chemical reaction engineering; Materials science; Thermodynamics; Chromatography; Organic chemistry; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007510053,0.001099086,0.001241168,0.0005482396,0.0003731083,0.001305666,0.001792262,0.002044935,0.0007924213],"category_scores_gemma":[0.001699954,0.0008544319,0.001189544,0.0004588663,0.0008803591,0.001120502,0.0003820573,0.0009148098,0.0002712205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002531356,"about_ca_system_score_gemma":0.001066225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810556,"about_ca_topic_score_gemma":0.007015127,"domain_scores_codex":[0.9997242,0.00005456902,0.00001721339,0.00008371373,0.00008226791,0.00003812261],"domain_scores_gemma":[0.9994105,0.000442929,0.0000467609,0.00001878972,0.000064866,0.00001625141],"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":[0.0001189524,0.00004338864,0.0003848769,0.0002428361,0.00002615221,0.0000769949,0.00006633541,0.9572656,0.03202103,0.004945135,0.0001218232,0.004686919],"study_design_scores_gemma":[0.00001082125,0.00001854102,0.0000952413,0.000003458451,0.000005978678,0.00001263384,0.000004217016,0.99318,0.005938902,0.0004432066,0.0002775255,0.000009447484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.363247,0.006423017,0.6201726,0.0005556161,0.0001607947,0.0002553277,0.0005055243,0.0006710244,0.008009026],"genre_scores_gemma":[0.942685,0.003707098,0.04419426,0.00005333844,0.00003501439,0.0002656733,0.0002771556,0.00008341392,0.008699005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01810556,"threshold_uncertainty_score":0.03600037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506667485823819,"score_gpt":0.1955450875375704,"score_spread":0.1804784126793322,"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."}}