{"id":"W3207355979","doi":"10.3390/catal10091056","title":"The Demonstration of the Superiority of the Dual Ni-Based Catalytic System for the Adjustment of the H2/CO Ratio in Syngas for Green Fuel Technologies","year":2020,"lang":"en","type":"article","venue":"Catalysts","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Syngas; Exothermic reaction; Endothermic process; Methane; Syngas to gasoline plus; Raw material; Water-gas shift reaction; Chemical engineering; Catalysis; Materials science; Fischer–Tropsch process; Chemistry; Process engineering; Steam reforming; Hydrogen production; Adsorption; Organic chemistry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001723902,0.0004381406,0.0002921038,0.0001939994,0.0001762808,0.0003365492,0.000540197,0.000429188,0.0004667134],"category_scores_gemma":[0.0001892388,0.0001793791,0.000186978,0.0001833341,0.0002308505,0.0003929999,0.0003228601,0.0005334853,0.0002421012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002155701,"about_ca_system_score_gemma":0.0002018457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007312057,"about_ca_topic_score_gemma":0.001165331,"domain_scores_codex":[0.9998295,0.00001422812,0.0000120085,0.00005576597,0.00006211788,0.00002631366],"domain_scores_gemma":[0.9999557,0.000004968079,0.000006596195,0.00000822914,0.00001480845,0.00000980226],"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":[0.00006034484,0.00002091351,0.0001241857,0.00004568315,0.000004393282,0.00005069082,0.00001169781,0.0001228643,0.9968969,0.0002446594,0.00003542456,0.0023822],"study_design_scores_gemma":[0.000007911225,0.0000901666,0.0004232465,0.000001422459,0.000006784302,0.00006624172,0.000009523159,0.002295571,0.9958876,0.00003544037,0.001171964,0.000004176778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684534,0.001229637,0.02566953,0.0001931937,0.0001165322,0.00006791511,0.0002697555,0.0002111717,0.003788944],"genre_scores_gemma":[0.9844664,0.0004188814,0.0136453,0.00002619395,0.00001171316,0.00003170702,0.0001364985,0.0000157433,0.001247511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007312057,"threshold_uncertainty_score":0.001564085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941073298520041,"score_gpt":0.2384116357203626,"score_spread":0.2190009027351622,"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."}}