{"id":"W3111062068","doi":"10.1016/j.ces.2020.116364","title":"Process design and simulation study: CO2 utilization through mixed reforming of methane for methanol synthesis","year":2020,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Syngas; Methanol; Methane; Steam reforming; Methanol reformer; Methane reformer; Process engineering; Syngas to gasoline plus; Volume (thermodynamics); Yield (engineering); Chemical engineering; Process simulation; Chemistry; Waste management; Catalysis; Process (computing); Materials science; Hydrogen production; Engineering; Organic chemistry; Thermodynamics; Computer science; Metallurgy","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":[0.0006383227,0.0002137086,0.0003826143,0.0001033816,0.00004307565,0.0000149817,0.0003621253,0.00008535111,0.000003338665],"category_scores_gemma":[0.006117913,0.0001973782,0.00006078279,0.001064211,0.0001104283,0.0005352198,0.0001076801,0.000138989,8.364682e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010982,"about_ca_system_score_gemma":0.00005445342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005794946,"about_ca_topic_score_gemma":6.193083e-8,"domain_scores_codex":[0.9983014,0.000009312197,0.0004163531,0.0004764086,0.0004353845,0.0003611096],"domain_scores_gemma":[0.9986869,0.0006422648,0.0001186753,0.0002072034,0.000178258,0.0001667667],"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":[0.00003004443,0.00002511183,0.00001036281,0.0002865955,0.00001696921,5.184135e-7,0.001098492,0.2212197,0.7750702,0.00005321817,1.686201e-7,0.002188618],"study_design_scores_gemma":[0.0001951687,0.00003053719,0.000006947726,0.00004267931,0.00003513442,0.000001535859,0.000131533,0.4559601,0.5434439,0.0000193804,0.000009591649,0.0001235353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6464201,0.00006583157,0.3528421,0.00002853858,0.00004350323,0.0004446436,0.000003911519,0.0001397055,0.00001165083],"genre_scores_gemma":[0.9792719,0.000002450124,0.0205272,0.000009247368,0.00005382713,0.00009095034,0.000003447538,0.00003842924,0.000002565158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3328518,"threshold_uncertainty_score":0.8048851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06194431279471683,"score_gpt":0.3120223259358292,"score_spread":0.2500780131411124,"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."}}