{"id":"W2897753514","doi":"10.1016/j.fuel.2018.09.096","title":"Synergetic effects of cerium and nickel in Ce-Ni-MFI catalysts on low-temperature water-gas shift reaction","year":2018,"lang":"en","type":"article","venue":"Fuel","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Calgary","keywords":"Cerium; Catalysis; Nickel; Water-gas shift reaction; Inorganic chemistry; Chemistry; Materials science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001758138,0.0003127381,0.0004065165,0.0002659659,0.0002200341,0.0004009022,0.0003397841,0.0003355201,0.001357004],"category_scores_gemma":[0.0002657614,0.0001719717,0.0002069445,0.0001325092,0.0002417774,0.0004476208,0.0002784089,0.0002827724,0.0003210243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002628315,"about_ca_system_score_gemma":0.0001485243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008960544,"about_ca_topic_score_gemma":0.001894636,"domain_scores_codex":[0.9998627,0.00001950471,0.00001167267,0.00002814634,0.0000376347,0.00004034066],"domain_scores_gemma":[0.9999396,0.00002022897,0.000008924303,0.000006446578,0.00001438734,0.00001035882],"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":[0.002248342,0.00008478706,0.0004515758,0.0002987076,0.00003287631,0.0001450206,0.00006227498,0.0004897143,0.9884002,0.0005123562,0.0002150833,0.007058921],"study_design_scores_gemma":[0.0000200517,0.0001303391,0.0005493776,0.000005502666,0.00002954786,0.00003827188,0.00002632079,0.0010014,0.9972224,0.00003249585,0.0009378123,0.000006376032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950311,0.001584863,0.0004312663,0.00006011427,0.00004181666,0.000009885975,0.00004414438,0.00004018701,0.002756503],"genre_scores_gemma":[0.998979,0.0003010076,0.0001375961,0.000007239656,0.000005134532,0.0000025647,0.00002317384,0.00000555519,0.0005387532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001357004,"threshold_uncertainty_score":0.004539609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004291327758285627,"score_gpt":0.223740740750931,"score_spread":0.2194494129926454,"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."}}