{"id":"W4323975086","doi":"10.1016/j.fuel.2023.127947","title":"Conversion of CO2 by reverse water gas shift (RWGS) reaction using a hydrogen oxyflame","year":2023,"lang":"en","type":"article","venue":"Fuel","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Syngas; Water-gas shift reaction; Process engineering; Residence time (fluid dynamics); Hydrogen; Operating temperature; Fossil fuel; Environmental science; Greenhouse gas; Materials science; Chemical engineering; Syngas to gasoline plus; Nuclear engineering; Steam reforming; Thermodynamics; Chemistry; Hydrogen production; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002030167,0.0001165314,0.0001886945,0.0001155592,0.00002426556,0.000003743378,0.0001024741,0.0001104411,0.0000860526],"category_scores_gemma":[0.00004833703,0.00009722726,0.0001010884,0.0002131889,0.00003085126,0.0001710034,0.00009516171,0.0001352372,0.000270864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000122789,"about_ca_system_score_gemma":0.000008656406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006306769,"about_ca_topic_score_gemma":0.00000334424,"domain_scores_codex":[0.9991047,0.00001193118,0.0002239346,0.0001803226,0.0002105206,0.0002686309],"domain_scores_gemma":[0.9995875,0.00002995561,0.00006048434,0.0002286169,0.00002390186,0.00006951979],"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":[0.00001705364,0.00001045601,0.0001607946,0.0001852868,0.00002899091,0.000009193781,0.00050647,0.000148215,0.9986404,0.000006755062,0.0001829097,0.0001034526],"study_design_scores_gemma":[0.0003394252,0.00001083063,0.00002598018,0.00006042946,0.00003852966,0.00000880321,0.000117641,0.01047853,0.9810148,0.00004865586,0.007724657,0.000131735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989896,0.00003407199,0.00007446344,0.00004881203,0.0001572391,0.00009105472,0.00001629554,0.000169392,0.0004190092],"genre_scores_gemma":[0.9987212,0.00001884533,0.00004923272,0.00001112889,0.00006494248,0.000003693382,0.0001716472,0.0000347787,0.000924466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01762564,"threshold_uncertainty_score":0.3964813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585369933812495,"score_gpt":0.2368789932253359,"score_spread":0.221025293887211,"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."}}