{"id":"W2005748778","doi":"10.1002/cjce.21765","title":"Simulation of pellet model with multicomponent mass diffusion closure using least squares spectral element solution method","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Forskningsråd","keywords":"Diffusion; Pellet; Mass flux; Diffusion process; Chemistry; Flux (metallurgy); Least-squares function approximation; Closure (psychology); Process (computing); Mechanics; Thermodynamics; Mathematics; Materials science; Physics; Computer science; Statistics","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":[0.0003894947,0.0004612755,0.0006732614,0.0003097547,0.0003984174,0.0005087335,0.0008043994,0.001209973,0.001675042],"category_scores_gemma":[0.0008352467,0.000266622,0.0006971808,0.0002732943,0.0005076869,0.0005095532,0.0004668908,0.000542317,0.0001954532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005092701,"about_ca_system_score_gemma":0.0007597802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103319,"about_ca_topic_score_gemma":0.004700134,"domain_scores_codex":[0.999833,0.00004726372,0.000009161757,0.00002265114,0.00005988847,0.00002806017],"domain_scores_gemma":[0.999468,0.0003216128,0.00005071707,0.0000310203,0.0001066327,0.00002197148],"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":[0.00003980998,0.00003747352,0.0007098264,0.00003033145,0.000009083897,0.0000532529,0.00003340271,0.9907501,0.003587781,0.002452454,0.0001121708,0.002184266],"study_design_scores_gemma":[0.000002242195,0.00000529607,0.00002667539,6.859956e-7,6.096043e-7,0.000002749315,0.00000295554,0.999441,0.0003923113,0.00007606506,0.00004820036,0.00000117221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4118847,0.0002386277,0.5760299,0.0002934535,0.0000863641,0.0001329841,0.0002842211,0.0007166223,0.0103331],"genre_scores_gemma":[0.930005,0.0001073062,0.06521659,0.00003633146,0.00001100603,0.0001774861,0.0001626476,0.00007183629,0.004211931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0103319,"threshold_uncertainty_score":0.02054352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155137311511294,"score_gpt":0.2311141564214492,"score_spread":0.2156004252703198,"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."}}