{"id":"W3097355211","doi":"10.1021/acsomega.0c03251","title":"Numerical Investigation of the Effects of Coke on Transport Properties in an Oxidative Fuel Cell Reformer","year":2020,"lang":"en","type":"article","venue":"ACS Omega","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Coke; Catalysis; Combustion; Chemical engineering; Steam reforming; Materials science; Hydrogen; Heat transfer; Porosity; Oxide; Chemistry; Packed bed; Mass transfer; Hydrogen production; Metallurgy; Composite material; Organic chemistry; Chromatography; Thermodynamics","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":[0.00006432776,0.0001021142,0.0002101017,0.0000382861,0.000009533654,0.000001237722,0.0001782372,0.00006137962,0.000001233278],"category_scores_gemma":[0.0001368006,0.00006405502,0.00005529001,0.0003133838,0.0000570617,0.0001376802,0.00002017924,0.0001814559,0.000002489616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004432982,"about_ca_system_score_gemma":0.00002378007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001092071,"about_ca_topic_score_gemma":0.000006287822,"domain_scores_codex":[0.9992675,0.00002378997,0.0002486575,0.0001358782,0.0002040066,0.0001201842],"domain_scores_gemma":[0.9996085,0.00004798856,0.0000899719,0.0001754011,0.00002857904,0.00004958152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004565925,0.00003573154,0.004636174,0.0009259435,0.000009536981,0.000001344501,0.004071771,0.0004067884,0.9896259,0.00003761807,0.000001293424,0.0002022227],"study_design_scores_gemma":[0.0003594912,0.0001414366,0.005607719,0.0001463518,0.0000144562,3.4641e-7,0.00009271024,0.0007108052,0.9927953,0.00002160263,0.0000305104,0.00007928487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991491,0.00006906764,0.00001766495,0.0001031715,0.0000357415,0.0001966524,0.000002751016,0.00002133905,0.0004044547],"genre_scores_gemma":[0.9997712,0.000005067903,0.00004237664,0.00008388659,0.00002142931,0.00001386213,0.000008703174,0.00001784815,0.00003563591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003979061,"threshold_uncertainty_score":0.2612088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699886190296804,"score_gpt":0.2122061007106154,"score_spread":0.1952072388076474,"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."}}