{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000388367,0.0002092024,0.0002634191,0.0004521661,0.00006030357,0.00007618688,0.0003333085,0.0001162414,0.00007529961],"category_scores_gemma":[0.0002765757,0.0001833729,0.0001789363,0.0002268212,0.00005374214,0.001069708,0.0001694584,0.0002832015,0.000009669331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006690156,"about_ca_system_score_gemma":0.0001047376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118246,"about_ca_topic_score_gemma":0.00007380234,"domain_scores_codex":[0.9980738,0.00002578834,0.0006259304,0.0002810843,0.0006961923,0.0002972666],"domain_scores_gemma":[0.9991149,0.00005718687,0.000241003,0.0001691445,0.0002798854,0.000137824],"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":[0.00007370822,0.00003801644,0.0002546418,0.00005259927,0.0008460911,0.000575075,0.0006687395,0.002099972,0.9825037,0.002256609,0.00007108058,0.01055975],"study_design_scores_gemma":[0.0003118267,0.00003165534,0.00003090483,0.000342835,0.0001239737,0.0007592323,0.0003363893,0.009839213,0.9741083,0.001964605,0.01193682,0.0002142241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924784,0.004907591,0.0007337847,0.0004387826,0.0009945318,0.00004683801,0.00001752464,0.00006738263,0.0003151222],"genre_scores_gemma":[0.9959555,0.0002310744,0.0001775004,0.00003939856,0.001509271,0.000007242145,0.00009266046,0.00005313547,0.001934198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01186574,"threshold_uncertainty_score":0.7477731,"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."}}