{"id":"W6976621088","doi":"10.60692/5p49p-hpe47","title":"Process Optimization of Deep Eutectic Solvent Pretreatment of Coffee Husk Biomass","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Husk; Response surface methodology; Hemicellulose; Biomass (ecology); Cellulose; Sugar; Yield (engineering); Deep eutectic solvent; Hydrolysis","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":[0.0001163417,0.00008679878,0.000139111,0.0002212337,0.00002256314,0.00001982501,0.00007955746,0.00003238774,0.000005052771],"category_scores_gemma":[0.000007933594,0.00007609888,0.00003891086,0.0004423495,0.0000123757,0.0002762179,0.00001740334,0.00002815929,0.00005612183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005510726,"about_ca_system_score_gemma":0.000008445849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000216057,"about_ca_topic_score_gemma":5.423207e-8,"domain_scores_codex":[0.9992484,0.000007663181,0.0003236865,0.00004708875,0.0002160072,0.0001571513],"domain_scores_gemma":[0.9996294,0.000005637957,0.00006430918,0.0001515796,0.0001040669,0.00004503813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007317844,0.000001707304,0.003390379,0.00175813,0.00005976476,4.95922e-7,0.01198913,0.9821495,0.0001381725,0.00002438963,0.000008211263,0.0004727993],"study_design_scores_gemma":[0.0003180117,0.00003552422,0.005851265,0.0001077183,0.00001148244,0.000001522892,0.001644715,0.9535142,0.03843202,0.000006095209,0.000002018058,0.00007543071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9073542,0.000004811272,0.09149489,0.000004050232,0.00009823779,0.0002074306,0.00003703074,0.0003085864,0.0004907495],"genre_scores_gemma":[0.9997079,5.707763e-7,0.0001990145,6.254251e-7,0.00001109675,0.00005072321,0.00001752627,0.00001058538,0.000002007675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09235363,"threshold_uncertainty_score":0.3103223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971381000870901,"score_gpt":0.2084587253142742,"score_spread":0.1887449153055652,"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."}}