{"id":"W4407719663","doi":"10.1002/cjce.25644","title":"Conversion‐time relations for fluid–solid reactors with shrinking‐core kinetics","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación; Universidad Nacional del Litoral; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Dimensionless quantity; Residence time (fluid dynamics); Residence time distribution; Taylor series; Mathematics; Plug flow; Polynomial; Isothermal process; Diffusion; Range (aeronautics); Flow (mathematics); Applied mathematics; Thermodynamics; Mechanics; Mathematical analysis; Materials science; Geometry; 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":[0.00007632087,0.00009352478,0.0001208729,0.0001500272,0.00004406916,0.00004009496,0.0001592495,0.00006794029,0.00003575343],"category_scores_gemma":[0.00015365,0.00007028627,0.0000456959,0.0002158058,0.00002612436,0.00009420777,0.000003355971,0.0001975924,0.000002324393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001994244,"about_ca_system_score_gemma":0.0001549671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002270111,"about_ca_topic_score_gemma":0.00003283714,"domain_scores_codex":[0.9995236,0.000002030316,0.000204454,0.00004575325,0.00007183813,0.0001522992],"domain_scores_gemma":[0.9995135,0.00007270696,0.00003432006,0.00008283963,0.0001621232,0.0001344805],"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":[0.00001191581,0.000003900111,0.00005984575,0.00005558907,0.00009663688,0.000002863109,0.0002089588,0.9131163,0.07722056,0.002426656,0.006539905,0.0002569004],"study_design_scores_gemma":[0.0004579065,0.0000372377,0.00004653464,0.0002617465,0.00007460583,0.00003041821,0.00001675704,0.810131,0.1734963,0.0002337425,0.01504552,0.0001683261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4885227,0.001585105,0.495201,0.003763757,0.00150622,0.0006547801,0.00004887393,0.0002758149,0.008441735],"genre_scores_gemma":[0.996498,0.000003436781,0.003176296,0.00006774547,0.00006970698,0.000003848676,0.000008726461,0.00001905017,0.0001531261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5079754,"threshold_uncertainty_score":0.2866191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005461492608225707,"score_gpt":0.1842437820744136,"score_spread":0.1787822894661878,"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."}}