{"id":"W4311214306","doi":"10.1016/j.enconman.2022.116549","title":"Energetic, GHG, and economic analyses of electrified steam methane reforming using conventional reformer tubes","year":2022,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Ministère de la Santé et des Services Sociaux (Québec); Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Steam reforming; Raw material; Electricity; Methane; Waste management; Process engineering; Environmental science; Hydrogen production; Hydrogen; Engineering; Chemistry","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":[0.0003064335,0.0002786804,0.0003170088,0.0007157445,0.0003032471,0.0003622539,0.0003428395,0.0003226911,0.001930415],"category_scores_gemma":[0.0003806016,0.000124592,0.0003907459,0.0005946304,0.0003992683,0.0004167058,0.0002046973,0.0002672616,0.0001598151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008609523,"about_ca_system_score_gemma":0.0002088656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006088829,"about_ca_topic_score_gemma":0.007215377,"domain_scores_codex":[0.9998848,0.00002693492,0.000006144635,0.00001896473,0.00004443385,0.0000186225],"domain_scores_gemma":[0.9998316,0.0001132823,0.00001157857,0.000006340552,0.00003138324,0.000005904349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01545973,0.001029014,0.05777242,0.0008003193,0.0002086356,0.001198417,0.0002493566,0.2450799,0.6198262,0.004012143,0.0007018029,0.05366197],"study_design_scores_gemma":[0.0002569131,0.002880945,0.09375726,0.00001884914,0.0001990317,0.0001560874,0.0005629193,0.2569813,0.6417753,0.001131176,0.002223382,0.00005687515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983676,0.00009450802,0.00043351,0.00001295363,0.0000024883,0.000007583182,0.0001043164,0.00000433944,0.0009726553],"genre_scores_gemma":[0.9987062,0.0000933226,0.0002473981,0.00000247865,0.000001990153,0.000005218089,0.000100032,0.000003176937,0.0008401407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006088829,"threshold_uncertainty_score":0.01210678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182614018701937,"score_gpt":0.2665815666723219,"score_spread":0.2447554264853025,"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."}}