{"id":"W3138250341","doi":"10.1016/j.biortech.2021.124969","title":"Co-production of ethanol and cellulose nanocrystals through self-cycling fermentation of wood pulp hydrolysate","year":2021,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; BioFuelNet Canada","keywords":"Cellulosic ethanol; Ethanol fuel; Fermentation; Cellulose; Raw material; Pulp and paper industry; Hydrolysate; Hydrolysis; Chemistry; Pulp (tooth); Ethanol; Enzymatic hydrolysis; Ethanol fermentation; Food science; Biochemistry; Organic chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001061442,0.0001168021,0.000199124,0.0001828623,0.00003508156,0.000005005743,0.00007716969,0.0002537275,0.00002834136],"category_scores_gemma":[0.00003176642,0.0001211,0.00003716259,0.0004122641,0.0001485508,0.00006727833,0.00003540307,0.000139677,0.000005283293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002834912,"about_ca_system_score_gemma":0.00001134046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006862511,"about_ca_topic_score_gemma":7.994478e-7,"domain_scores_codex":[0.9992108,0.00002546172,0.0002706192,0.0002416736,0.0001047207,0.000146738],"domain_scores_gemma":[0.9995566,0.000007236009,0.00009304925,0.0002601919,0.0000627947,0.00002015569],"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":[0.000009311618,0.0000441587,0.0008168308,0.0003000407,0.00004336048,0.000002172511,0.0004546426,0.00004366995,0.9955656,0.00009951831,0.0001660208,0.002454699],"study_design_scores_gemma":[0.0002891455,0.00005533061,0.0001347593,0.00003194108,0.00003089273,0.00003556587,0.0008415408,0.0002300399,0.9923368,0.0004013456,0.005502861,0.0001097437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965974,0.001516971,0.0002040216,0.0005842458,0.0002799999,0.0001376932,0.000003284377,0.0003923838,0.0002839961],"genre_scores_gemma":[0.9966658,0.0006377178,0.002496128,0.00001305249,0.00003763141,0.000005400095,0.00001324436,0.00001795997,0.0001131066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00533684,"threshold_uncertainty_score":0.4938315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107149419024718,"score_gpt":0.2269485496159194,"score_spread":0.2162336077134476,"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."}}