{"id":"W4407846847","doi":"10.1093/ijlct/ctae295","title":"Multi-objective optimization evaluation of renewable and clean methanol synthesis","year":2025,"lang":"en","type":"article","venue":"International Journal of Low-Carbon Technologies","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Northern Border University; Guizhou Science and Technology Department","keywords":"Renewable energy; Methanol; Clean energy; Biochemical engineering; Process engineering; Chemistry; Environmental science; Computer science; Engineering; Environmental engineering; Organic chemistry; Electrical engineering","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":[0.000843788,0.0001180948,0.0002634322,0.0008114132,0.00001602394,0.00001420363,0.0003933227,0.0001498773,0.000008178088],"category_scores_gemma":[0.00463723,0.0001027267,0.0000935389,0.0002811544,0.00008618724,0.0001937413,0.0001562945,0.0001963887,2.153335e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003228881,"about_ca_system_score_gemma":0.00008172776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007132964,"about_ca_topic_score_gemma":0.00001471235,"domain_scores_codex":[0.9986562,0.00003413208,0.0005134314,0.0001336519,0.0005547355,0.0001078569],"domain_scores_gemma":[0.9982161,0.0002262515,0.0004284904,0.0001479129,0.0009655816,0.00001567458],"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":[0.0001399706,0.0001270919,0.001055869,0.00007694619,0.0008700191,0.000009112126,0.0001849641,0.1454169,0.680724,0.000320368,0.000007918132,0.1710668],"study_design_scores_gemma":[0.0006210369,0.00001988305,0.0002196704,0.0004334012,0.0001335726,0.00002032299,0.00102139,0.1669868,0.8296371,0.0008160741,0.00001279117,0.00007796771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660912,0.001492032,0.02951218,0.000583414,0.0005798371,0.000185238,0.000008314214,0.000155063,0.001392724],"genre_scores_gemma":[0.9884015,0.0002577328,0.01124444,0.000004509586,0.00002426592,0.00001133525,0.000001604075,0.0000112466,0.00004331453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1709889,"threshold_uncertainty_score":0.5551533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170534692987728,"score_gpt":0.2912636303290649,"score_spread":0.2742101610302921,"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."}}