{"id":"W4401505045","doi":"10.1016/j.ijhydene.2024.08.056","title":"Enhancing hydrogen production: Modelling the role of activated carbon catalyst in methane pyrolysis","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pyrolysis; Methane; Hydrogen production; Catalysis; Hydrogen; Steam reforming; Carbon fibers; Chemistry; Carbon dioxide reforming; Production (economics); Methane reformer; Chemical engineering; Environmental science; Materials science; Syngas; Organic chemistry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002593367,0.0007797538,0.00079933,0.0004080381,0.0005679679,0.001226946,0.001065214,0.002788928,0.001908136],"category_scores_gemma":[0.0007769457,0.0004301975,0.001148447,0.0005772881,0.0006695298,0.001082121,0.0006028078,0.0008332379,0.0003009619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062071,"about_ca_system_score_gemma":0.001099703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0185041,"about_ca_topic_score_gemma":0.008130748,"domain_scores_codex":[0.9998785,0.00003482592,0.000005699088,0.00002013815,0.00002748577,0.00003321183],"domain_scores_gemma":[0.9997367,0.0001688833,0.0000222881,0.0000155501,0.00003583868,0.00002069377],"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":[0.00002429077,0.00002840753,0.0003671319,0.0000378175,0.000007988068,0.00006736517,0.00001890342,0.993857,0.001877394,0.002933891,0.00007495646,0.000704913],"study_design_scores_gemma":[0.000006867394,0.00001201822,0.00008855017,0.00000355703,0.000003539201,0.00000726192,0.000009700477,0.9984862,0.000431317,0.000665117,0.0002819155,0.00000390298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8077238,0.002989758,0.1232523,0.001371636,0.0002385636,0.000257483,0.001379843,0.0002509197,0.06253572],"genre_scores_gemma":[0.9807195,0.001045565,0.009788403,0.00008656898,0.00002972723,0.000161594,0.0002786999,0.00005060693,0.00783933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0185041,"threshold_uncertainty_score":0.03679281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008463800598667527,"score_gpt":0.2330252749435479,"score_spread":0.2245614743448804,"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."}}