{"id":"W4252025019","doi":"10.32920/ryerson.14662989.v1","title":"Enriching and characterizing an aerotolerant mixed microbial community capable of cellulose hydrolysis and ethanol production","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cellulosic ethanol; Bioprocess; Fermentation; Cellulose; Food science; Ethanol fuel; Yeast; Microorganism; Biofuel; Chemistry; Microbial population biology; Hydrolysis; Pulp and paper industry; Anaerobic exercise; Cellulase; Ethanol; Biotechnology; Biology; Biochemistry; Bacteria; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003596115,0.0006312843,0.0004622992,0.0003828941,0.0002573635,0.0007988639,0.000228957,0.0003809629,0.0004558362],"category_scores_gemma":[0.0004405525,0.0001271744,0.0003117688,0.0003742515,0.000202837,0.0004073189,0.0006425388,0.0004359276,0.0003594625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001068863,"about_ca_system_score_gemma":0.0003018435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005816097,"about_ca_topic_score_gemma":0.0007214273,"domain_scores_codex":[0.9996814,0.00004747274,0.00002573139,0.00009433395,0.00008894613,0.00006224957],"domain_scores_gemma":[0.9998758,0.00002169948,0.00001972702,0.0000135523,0.00003335426,0.0000357431],"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":[0.00003539971,0.00004963316,0.0006613149,0.0000209842,0.00000404224,0.00003557475,0.00004260944,0.00005646261,0.9974142,0.00001720909,0.00001023871,0.001652288],"study_design_scores_gemma":[0.00002918451,0.0008012205,0.03159385,0.00002193914,0.0000662672,0.0006162946,0.0004698286,0.003109511,0.9604416,0.0002335521,0.00259292,0.00002385499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948761,0.0002314186,0.003890128,0.00004720437,0.00001990841,0.00005121055,0.0003607615,0.00002290856,0.000500422],"genre_scores_gemma":[0.9672049,0.000727527,0.02604536,0.00008219236,0.00003757654,0.0001112053,0.003215552,0.00004439086,0.002531299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007988639,"threshold_uncertainty_score":0.001901805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773688946867373,"score_gpt":0.2091228647240756,"score_spread":0.1913859752554019,"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."}}