{"id":"W4301399264","doi":"10.1002/cjce.24696","title":"Comparative analysis of ethanol‐steam and ‐autothermal reforming for hydrogen production using Aspen Plus","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation; University of Regina","keywords":"Steam reforming; Methane reformer; Hydrogen production; Mole fraction; Hydrogen; Ethanol; Chemistry; Chemical engineering; Materials science; Waste management; Nuclear chemistry; Organic chemistry; Engineering; Physical chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006564402,0.0001560385,0.0005403018,0.0004997751,0.0001235524,0.00000985995,0.0002953832,0.00005436147,0.00002393828],"category_scores_gemma":[0.0002041043,0.000131627,0.0002400972,0.0007257652,0.00005862986,0.0001390437,0.00005593838,0.0004328849,1.11996e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008811153,"about_ca_system_score_gemma":0.0002836665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358446,"about_ca_topic_score_gemma":0.0001058834,"domain_scores_codex":[0.9987742,0.00001703756,0.0005060855,0.0001373163,0.0002509268,0.0003144674],"domain_scores_gemma":[0.9991064,0.0001108434,0.0002763421,0.0001798812,0.0001028461,0.0002236578],"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":[0.00002121803,0.00000320427,0.00001779712,0.00003177494,0.0005282039,0.000003207065,0.001135424,0.3973016,0.6007241,0.00006748293,0.000001669672,0.0001642836],"study_design_scores_gemma":[0.0002519278,0.00002390178,0.00001015931,0.00003627152,0.0006307884,0.0001893931,0.0001861914,0.3011107,0.697131,0.00001854537,0.0002723941,0.0001386191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983529,0.0006380845,0.000547645,0.00008942114,0.0001451668,0.0001505996,0.00002876705,0.00001150208,0.00003586758],"genre_scores_gemma":[0.9992614,9.099964e-7,0.0005155832,0.000009335272,0.0001419068,0.00000895559,0.000009726086,0.00002601433,0.00002615428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09640693,"threshold_uncertainty_score":0.5367595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494025800901421,"score_gpt":0.2494856684221716,"score_spread":0.2245454104131574,"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."}}