{"id":"W2135840497","doi":"10.1002/aic.14411","title":"Computational analysis of the reacting flow in a microstructured reformer using a multiscale approach","year":2014,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Microscale chemistry; Porosity; Steam reforming; Materials science; Catalysis; Microstructure; Microreactor; Multiscale modeling; Particle (ecology); Coating; Methane; Chemical engineering; Nanotechnology; Composite material; Chemistry; Engineering; Hydrogen production","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":[],"consensus_categories":[],"category_scores_codex":[0.0004727584,0.00007925035,0.0001988761,0.0001784465,0.00007645345,0.00003916991,0.0004247566,0.00003719133,0.000002492299],"category_scores_gemma":[0.0001957813,0.0000529029,0.0001101045,0.0007883467,0.00002457494,0.0002107415,0.0001121938,0.0002787679,3.832875e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006858163,"about_ca_system_score_gemma":0.00002331556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004961214,"about_ca_topic_score_gemma":0.000001474839,"domain_scores_codex":[0.9990903,0.00005356296,0.0003345395,0.0001239971,0.0002384715,0.0001591068],"domain_scores_gemma":[0.9993628,0.0001309189,0.0001808738,0.0002159104,0.00007024165,0.00003927289],"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":[0.000001173149,0.00001555056,0.000499238,0.000007719994,0.00004636187,3.498792e-7,0.0005702641,0.9933327,0.003710223,0.0004573487,0.00000145546,0.001357656],"study_design_scores_gemma":[0.0001584005,0.000004281325,0.004241994,0.00003116033,0.00003826783,0.00004871229,0.00002270079,0.9899609,0.0002916712,0.0051357,0.000004008223,0.00006217643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1661658,0.00001397189,0.8335549,0.00003691265,0.0000700903,0.00003220614,4.186127e-7,0.000009431465,0.0001162905],"genre_scores_gemma":[0.5008247,2.59641e-7,0.4991315,0.00002165104,0.00001434007,3.752252e-7,2.01933e-7,0.000003228703,0.000003711485],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.334659,"threshold_uncertainty_score":0.2157318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598980510808331,"score_gpt":0.2568525297275993,"score_spread":0.2408627246195159,"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."}}