{"id":"W4392767278","doi":"10.18331/brj2024.11.1.2","title":"Critical impacts of energy targeting on the sustainability of advanced biobutanol separation","year":2024,"lang":"en","type":"article","venue":"Biofuel Research Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vrije Universiteit Brussel","keywords":"Life-cycle assessment; Environmental science; Process engineering; Pinch analysis; Distillation; Energy consumption; Renewable energy; Air separation; Process integration; Biofuel; Efficient energy use; Sustainability; Waste management; Production (economics); Chemistry; Engineering; Chromatography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004231333,0.0001147799,0.0001484265,0.0001036811,0.0002884746,0.00009478508,0.0003223105,0.00007592111,0.001594754],"category_scores_gemma":[0.004746809,0.00007032628,0.0001268499,0.0005298658,0.001310001,0.0004172062,0.0002239302,0.0005536662,0.00002057731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036762,"about_ca_system_score_gemma":0.0001646386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001683343,"about_ca_topic_score_gemma":0.000017028,"domain_scores_codex":[0.9970734,0.0006657292,0.0003908694,0.0002261561,0.00110743,0.0005364159],"domain_scores_gemma":[0.9983467,0.001003764,0.00005538555,0.0002685858,0.0001130555,0.0002124832],"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":[0.001340389,0.00190607,0.180756,0.001000706,0.0001097387,0.0002259926,0.004876756,0.001842729,0.6590441,0.03676488,0.01148661,0.100646],"study_design_scores_gemma":[0.0007160869,0.004308544,0.2357276,0.0003613881,0.00003530556,0.0001156301,0.02006536,0.005554725,0.3869255,0.3204404,0.02518696,0.0005625701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920575,0.000512732,0.0003832844,0.003478867,0.00008619221,0.0001872202,0.00001067099,0.00001006676,0.003273491],"genre_scores_gemma":[0.999403,0.0001631746,0.0001383769,0.000027728,0.00005879205,0.000008083496,0.000001297031,0.00001138027,0.0001881791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2836755,"threshold_uncertainty_score":0.9993179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02635747448930048,"score_gpt":0.3913552021190722,"score_spread":0.3649977276297717,"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."}}