{"id":"W4404412076","doi":"10.1021/acs.iecr.4c02880","title":"Modeling of a Moving Reacting Carbon Char Particle Using Macropore-Resolved and Porous Media Approaches","year":2024,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Fondo Nacional de Desarrollo Científico y Tecnológico; Natural Sciences and Engineering Research Council of Canada; Agencia Nacional de Investigación y Desarrollo; Universidad Técnica Federico Santa María","keywords":"Char; Macropore; Porosity; Particle (ecology); Carbon fibers; Chemical engineering; Porous medium; Materials science; Chemistry; Pyrolysis; Composite material; Organic chemistry; Geology; Catalysis; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002170476,0.0004762409,0.0004766465,0.0003313424,0.0003582845,0.0007886441,0.0007546925,0.001156508,0.0007063446],"category_scores_gemma":[0.0005465432,0.0003060487,0.0006064281,0.0002855746,0.0005895953,0.0006410958,0.0005143042,0.0003778369,0.0001182086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005790797,"about_ca_system_score_gemma":0.0008872705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007665599,"about_ca_topic_score_gemma":0.003644281,"domain_scores_codex":[0.9998877,0.00001866001,0.000005799919,0.00002062118,0.00003863002,0.00002854281],"domain_scores_gemma":[0.9997857,0.0001045207,0.00003590705,0.00002145578,0.00002949602,0.0000229964],"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":[0.00004004588,0.00002725537,0.0006588988,0.00004080733,0.0000142712,0.00007698402,0.00002673707,0.9843553,0.01169023,0.001320329,0.00003081918,0.001718276],"study_design_scores_gemma":[0.00000572311,0.00001433439,0.0002018116,0.000001487668,0.000002623601,0.00001062018,0.000009508595,0.9978005,0.001722635,0.0001265557,0.0001005612,0.000003522962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8311299,0.0003129361,0.1600563,0.00015151,0.00007165907,0.00009072111,0.0003963435,0.0002812077,0.007509444],"genre_scores_gemma":[0.9793372,0.0001683791,0.01904519,0.00001753942,0.00001170064,0.00005897048,0.0001128808,0.00003056351,0.001217638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007665599,"threshold_uncertainty_score":0.01524198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1055629757725395,"score_gpt":0.282025825685592,"score_spread":0.1764628499130524,"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."}}