{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004272838,0.0004385659,0.0009051152,0.0002298771,0.0001274425,0.000009531602,0.0005283676,0.0002341286,0.00001872932],"category_scores_gemma":[0.000878438,0.00048186,0.0003210645,0.0008178212,0.0001188378,0.0000873428,0.0001324814,0.0006882759,4.482581e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058584,"about_ca_system_score_gemma":0.0001149225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004903312,"about_ca_topic_score_gemma":0.00001644657,"domain_scores_codex":[0.9975001,0.0000868049,0.0005495565,0.0007603293,0.0005039506,0.0005992311],"domain_scores_gemma":[0.998423,0.0003923167,0.0002847771,0.0006624613,0.00006096748,0.0001764433],"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":[0.002240803,0.0004714183,0.0008339596,0.0004142208,0.0006105466,0.00004024053,0.001334314,0.001429624,0.9903672,0.00002839664,0.0001923275,0.002036971],"study_design_scores_gemma":[0.002197046,0.000156991,0.00005402576,0.00007537658,0.0002036868,0.00002198607,0.001979962,0.0158606,0.9784566,0.0003584815,0.0001207501,0.0005144934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938819,0.0002273993,0.0002749022,0.0000354988,0.0003036312,0.0008236103,0.0002193235,0.0001462054,0.004087549],"genre_scores_gemma":[0.9968355,0.000005437344,0.0008086913,0.00001500949,0.00009426053,0.001480046,0.0003190087,0.0001251178,0.00031698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01443097,"threshold_uncertainty_score":0.9997633,"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."}}