{"id":"W2070015515","doi":"10.1021/ef700361m","title":"Dynamic Optimization Strategies of a Heterogeneous Reactor for CO<sub>2</sub>Conversion to Methanol","year":2007,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Methanol; Process engineering; Renewable energy; Mole fraction; Steady state (chemistry); Environmental science; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002489269,0.0001972222,0.0002938634,0.0002375258,0.00003184953,0.00001156674,0.0001778802,0.0001550501,0.00001623575],"category_scores_gemma":[0.00009351601,0.0001950628,0.000166876,0.000252944,0.00002327724,0.0001797083,0.00005129309,0.0000748648,0.000005283186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001888462,"about_ca_system_score_gemma":0.00003507953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006514529,"about_ca_topic_score_gemma":0.00004355838,"domain_scores_codex":[0.998737,0.0000111263,0.0003888456,0.0002758873,0.0002235027,0.0003635915],"domain_scores_gemma":[0.9991903,0.00015615,0.0001311217,0.0002866593,0.0000985576,0.00013722],"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":[0.00008215381,0.00002615695,0.000001832287,0.0000840376,0.00005891769,0.000005208867,0.0001127175,0.04457831,0.9483758,0.0004461411,0.000004771703,0.006223963],"study_design_scores_gemma":[0.0003741267,0.0000909211,0.000003797388,0.00004699732,0.00003639168,0.00001346934,0.0001208726,0.01021782,0.9879264,0.00006086117,0.0009132022,0.0001951046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6577841,0.00009843121,0.3413928,0.00001373675,0.0001338383,0.0001196738,0.00001887042,0.00009255163,0.0003459706],"genre_scores_gemma":[0.9924864,0.00002833423,0.007074848,0.00002526133,0.00006515334,0.00002591061,0.0001401713,0.00006075946,0.00009316429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3347023,"threshold_uncertainty_score":0.7954431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009206476290515068,"score_gpt":0.247991284403356,"score_spread":0.238784808112841,"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."}}