{"id":"W4211216746","doi":"10.3389/fchem.2022.849505","title":"Highly Dispersed CoO Embedded on Graphitized Ordered Mesoporous Carbon as an Effective Catalyst for Selective Fischer–Tropsch Synthesis of C5+ Hydrocarbons","year":2022,"lang":"en","type":"article","venue":"Frontiers in Chemistry","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Fischer–Tropsch process; Catalysis; Mesoporous material; Materials science; Carbon fibers; Chemical engineering; Selectivity; Dispersion (optics); Nanotechnology; Chemistry; Organic chemistry; Composite number; Composite material","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":[0.0000552479,0.0002614778,0.0001147765,0.0002646692,0.0001242562,0.0001697157,0.0002215729,0.0002942521,0.0004393635],"category_scores_gemma":[0.00009075781,0.0001247033,0.000134393,0.0001924747,0.0001720356,0.0002235726,0.0001587123,0.0002858339,0.0001730042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002516967,"about_ca_system_score_gemma":0.0001950226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362401,"about_ca_topic_score_gemma":0.004916145,"domain_scores_codex":[0.9999233,0.000003948825,0.000004318797,0.00001830045,0.0000324717,0.00001763499],"domain_scores_gemma":[0.9999713,0.00000366178,0.000006562183,0.000003289857,0.000005761371,0.000009444175],"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":[0.00001889062,0.00001173928,0.0001906188,0.00004627406,0.000004126019,0.00005379503,0.00001027712,0.0001492568,0.9977191,0.0001509542,0.00005353305,0.001591356],"study_design_scores_gemma":[0.000006096704,0.00006930383,0.001836656,0.000003443889,0.0000126984,0.00009020615,0.00001636055,0.002594201,0.9936325,0.00004368454,0.001686984,0.000007972885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934049,0.001106001,0.002824077,0.00007986784,0.00003603481,0.00001833623,0.0001767483,0.0001055523,0.002248525],"genre_scores_gemma":[0.997242,0.000299655,0.001775892,0.0000143376,0.000006179529,0.000004414205,0.0001205702,0.00001196361,0.0005249833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001362401,"threshold_uncertainty_score":0.002708912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004225008153006918,"score_gpt":0.2209670919099024,"score_spread":0.2167420837568955,"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."}}