{"id":"W4392107268","doi":"10.1016/j.ijhydene.2024.02.179","title":"Sustainable hydrogen production and CO2 mitigation from acetic acid dry reforming over Ni/Al2O3 catalyst","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Trường Đại học Nguyễn Tất Thành; National Foundation for Science and Technology Development","keywords":"Catalysis; Non-blocking I/O; Acetic acid; Syngas; Hydrogen; Chemistry; Carbon fibers; Amorphous solid; Desorption; Carbon dioxide reforming; Decomposition; Hydrogen production; Amorphous carbon; Particle size; Activation energy; Chemical engineering; Inorganic chemistry; Materials science; Adsorption; Organic chemistry; Physical 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":[0.0001180314,0.00021528,0.0002253804,0.0003224789,0.0002528295,0.0003200877,0.000247859,0.0003115091,0.001038799],"category_scores_gemma":[0.000107588,0.0001275604,0.0002303556,0.0002518275,0.0001422216,0.00027404,0.0002102438,0.0003134251,0.0003059104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003536142,"about_ca_system_score_gemma":0.0002351233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001713043,"about_ca_topic_score_gemma":0.003927676,"domain_scores_codex":[0.999913,0.00000592581,0.000007412993,0.00001495833,0.00003371645,0.00002500559],"domain_scores_gemma":[0.9999783,0.000003064401,0.000003359986,0.000003171865,0.000007187329,0.000004970296],"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":[0.0005894315,0.00007448495,0.001012432,0.0001700601,0.00002374714,0.0001912637,0.00004033318,0.001013747,0.9886681,0.0004763051,0.0002678916,0.007472337],"study_design_scores_gemma":[0.00002349236,0.0002460731,0.002488119,0.000005581946,0.00002570231,0.0000598717,0.00008435729,0.004536618,0.9902272,0.0001221842,0.002173374,0.000007332098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953138,0.0005983457,0.0005685989,0.00008370174,0.00003575483,0.00001145446,0.0001440397,0.00004294317,0.003201389],"genre_scores_gemma":[0.998743,0.0001500027,0.0002357062,0.000006648085,0.000002982289,0.000003630739,0.00007409056,0.000002796407,0.0007811236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001713043,"threshold_uncertainty_score":0.00347507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005487739180750592,"score_gpt":0.2317657901142804,"score_spread":0.2262780509335298,"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."}}