{"id":"W4281927048","doi":"10.1007/s13399-022-02823-4","title":"Physicochemical feature enhancement of bioethanol through the fermentative parameter optimization","year":2022,"lang":"en","type":"article","venue":"Biomass Conversion and Biorefinery","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Ferdowsi University of Mashhad","keywords":"Response surface methodology; Biofuel; Fermentation; Raw material; Factorial experiment; Sugar; Viscosity; Flash point; Box–Behnken design; Mathematics; Pulp and paper industry; Food science; Chemistry; Biotechnology; Materials science; Statistics; Engineering; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001501801,0.0003333248,0.0001968771,0.0002478297,0.0001354969,0.0004227841,0.0001792563,0.0001938247,0.0005365348],"category_scores_gemma":[0.0002688297,0.0001232991,0.0002942215,0.0004716929,0.0001015036,0.000351747,0.0002531571,0.0002836201,0.0001414876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002029545,"about_ca_system_score_gemma":0.0001681118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003541312,"about_ca_topic_score_gemma":0.0008044863,"domain_scores_codex":[0.9999127,0.000009610083,0.00001066706,0.00001705299,0.00003393328,0.00001595622],"domain_scores_gemma":[0.9999485,0.000009381608,0.00001601685,0.000005992056,0.0000149933,0.000005119356],"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":[0.00006800616,0.00004763105,0.0004523653,0.00004173587,0.000007661945,0.00003187303,0.000009025516,0.001595368,0.9929343,0.00008871367,0.00002799639,0.004695246],"study_design_scores_gemma":[0.000006077365,0.000113287,0.002539585,0.000003333804,0.00001583663,0.00004931427,0.00001675505,0.005430947,0.9909114,0.00004521182,0.0008590397,0.000009282619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937384,0.0005090248,0.00442896,0.00003997925,0.000009536325,0.00001341401,0.0001390601,0.00002741548,0.001094118],"genre_scores_gemma":[0.9964276,0.0004105459,0.002447177,0.00001339597,0.000003302498,0.00001458369,0.0001341983,0.00001273604,0.0005364192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005365348,"threshold_uncertainty_score":0.001794875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497498478955004,"score_gpt":0.2255037147213489,"score_spread":0.2105287299317989,"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."}}