{"id":"W4390394907","doi":"10.1021/acssusresmgt.3c00075","title":"Vacancy-Rich Carbon-Coated Niobium Carbide Prepared via Carbothermal Reduction of Biomass-Based Carbon Precursors for Efficient Catalytic Epoxidation","year":2023,"lang":"en","type":"article","venue":"ACS Sustainable Resource Management","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada)","funders":"Science and Technology Commission of Shanghai Municipality; East China University of Science and Technology; National Natural Science Foundation of China; Canadian Light Source","keywords":"Carbothermic reaction; Catalysis; Vanadium carbide; Niobium carbide; Materials science; Carbide; Niobium; Resorcinol; Carbon fibers; Inorganic chemistry; Chemical engineering; Decomposition; Vacancy defect; Chemistry; Metallurgy; Organic chemistry; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000477758,0.0003004615,0.0003889399,0.0007985541,0.0001431655,0.00004243017,0.0002154897,0.00009568963,0.000003535609],"category_scores_gemma":[0.00003553816,0.000328205,0.0001153363,0.001889547,0.00005918935,0.00004544486,0.0001377353,0.00007443489,0.000002386907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005208202,"about_ca_system_score_gemma":0.00003249478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003781579,"about_ca_topic_score_gemma":0.00001424513,"domain_scores_codex":[0.9979073,0.00004177444,0.0005446935,0.000448806,0.0004092284,0.0006482226],"domain_scores_gemma":[0.9989561,0.00005437866,0.0001658702,0.0005542458,0.0001982318,0.00007112688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009690483,0.00008540282,0.0002270161,0.002615495,0.0005416273,0.00001905137,0.001401831,0.9780415,0.0150565,0.0002321794,0.0008319683,0.0008504973],"study_design_scores_gemma":[0.00209789,0.0001429739,0.001531062,0.0001312412,0.0008003488,0.000002260825,0.01017291,0.7346293,0.2376398,0.00009816348,0.01195067,0.0008034227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857602,0.0003981036,0.0009802111,0.0001183374,0.0001807641,0.001857268,0.00001779414,0.0006698068,0.01001748],"genre_scores_gemma":[0.995545,0.00002206354,0.00005382811,0.000005639294,0.00007246172,0.0006044562,0.0002862694,0.00009167434,0.003318652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2434123,"threshold_uncertainty_score":0.999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006930740787128748,"score_gpt":0.2170576181894288,"score_spread":0.2101268774023001,"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."}}