{"id":"W4404695098","doi":"10.1016/j.fuel.2024.133777","title":"Highly stable Co/CeO2 catalyst for high-temperature water–gas shift reaction using a CeO2 support with an optimized precipitant ratio","year":2024,"lang":"en","type":"article","venue":"Fuel","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Korea Institute of Energy Technology Evaluation and Planning; Natural Sciences and Engineering Research Council of Canada; Ministère de l’Éducation, Gouvernement de l’Ontario; National Research Foundation of Korea; Ministry of Trade, Industry and Energy; Changwon National University","keywords":"Water-gas shift reaction; Catalysis; Chemical engineering; Reaction conditions; Materials science; Chemistry; Water gas; Syngas; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001186189,0.0003514902,0.0004408996,0.0001608294,0.0003416834,0.001707436,0.0005587206,0.0001606283,0.0003630677],"category_scores_gemma":[0.00007347493,0.0002402208,0.00005212429,0.0002978664,0.0002187537,0.00231324,0.0001134883,0.0001448932,0.0001884927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002570538,"about_ca_system_score_gemma":0.0005350934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000456792,"about_ca_topic_score_gemma":0.00005822889,"domain_scores_codex":[0.997131,0.0000675631,0.0004974202,0.0009973231,0.0005801722,0.0007264967],"domain_scores_gemma":[0.9987018,0.00009407196,0.0001275752,0.0006740318,0.0002105812,0.0001919194],"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":[0.0004502326,0.00006858066,0.000002833625,0.0004527429,0.00001561436,0.00004402275,0.001198804,0.001461658,0.9948209,0.001001479,0.0004637449,0.00001941429],"study_design_scores_gemma":[0.0007096688,0.0003982663,0.0000166028,0.0001312577,0.0001120057,0.000137423,0.0002105732,0.003559192,0.9905534,0.001381077,0.002339002,0.0004515123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879262,0.0001488269,0.006245574,0.0003065118,0.003175412,0.0009250358,0.0006464588,0.0004568422,0.0001691192],"genre_scores_gemma":[0.9822361,0.00001696729,0.01549242,0.00007300718,0.0005046886,0.0001898516,0.0006632856,0.00007382083,0.0007497886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009246846,"threshold_uncertainty_score":0.9993289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577605666118889,"score_gpt":0.270563341894175,"score_spread":0.2547872852329861,"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."}}