{"id":"W4410973623","doi":"10.1016/j.jece.2025.117401","title":"Development of effective hydrogen production and process electrification systems to reduce the environmental impacts of the methanol production process","year":2025,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Environment and Climate Change Canada","keywords":"Production (economics); Process (computing); Hydrogen production; Process engineering; Process development; Methanol; Electrification; Environmental science; Hydrogen; Biochemical engineering; Chemistry; Computer science; Engineering; Electricity; Organic chemistry; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002007265,0.0003374017,0.0002078912,0.0002860888,0.0002409319,0.0004855887,0.0003884493,0.0003811918,0.001180759],"category_scores_gemma":[0.0001416273,0.0001506628,0.0001659299,0.0002322447,0.0002506822,0.0005574641,0.0002527256,0.0003569336,0.0002448733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009659128,"about_ca_system_score_gemma":0.001114648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007889397,"about_ca_topic_score_gemma":0.01621823,"domain_scores_codex":[0.9999162,0.000007991051,0.000003214034,0.0000120994,0.00004319143,0.00001739644],"domain_scores_gemma":[0.9999681,0.000003253926,0.000004800637,0.000002831539,0.0000171114,0.000003966481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00011606,0.0001275864,0.0009639925,0.00059952,0.00002902878,0.0001586462,0.00005359892,0.02202765,0.8714298,0.005328785,0.0007878952,0.09837753],"study_design_scores_gemma":[0.00006729511,0.0006188414,0.005247425,0.0000637499,0.00006569103,0.0001288712,0.0002621862,0.06423543,0.8781987,0.00133868,0.04974348,0.00002957083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8005227,0.01223687,0.1564886,0.001300374,0.0001555599,0.0004864142,0.0005523369,0.00063727,0.02761982],"genre_scores_gemma":[0.9425625,0.005552768,0.04502249,0.0001258555,0.00001278445,0.000101188,0.0002302833,0.00002452853,0.006367643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007889397,"threshold_uncertainty_score":0.01568693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00335145382845554,"score_gpt":0.1992841038122809,"score_spread":0.1959326499838253,"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."}}