{"id":"W4231625508","doi":"10.32920/ryerson.14645388","title":"Development of a Gradient System for the Establishment of Cellulolytic Microbial Communities","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cellulosic ethanol; Bioprocess; Biomass (ecology); Biofuel; Cellulose; Pulp and paper industry; Ethanol fuel; Fermentation; Microbial population biology; Microorganism; Lignocellulosic biomass; Temperature gradient gel electrophoresis; Chemistry; Biotechnology; Food science; Biology; Bacteria; Biochemistry; Ecology; Engineering","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":[0.0003759891,0.0005849238,0.0006506537,0.0004355751,0.0003573547,0.0007316275,0.0004369406,0.0005734434,0.0009211957],"category_scores_gemma":[0.0002636203,0.0002741043,0.000297548,0.0003031482,0.00020423,0.0005382008,0.0007536386,0.0009790251,0.0007577722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134392,"about_ca_system_score_gemma":0.0003320913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005264658,"about_ca_topic_score_gemma":0.0006046717,"domain_scores_codex":[0.9996731,0.00005393973,0.00003317557,0.00009123104,0.00008447959,0.00006413949],"domain_scores_gemma":[0.999854,0.00002009091,0.00002562753,0.00001615806,0.00003297841,0.00005107474],"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":[0.00002918866,0.00004226173,0.0001061805,0.000030586,0.000003456502,0.00001231587,0.00001732486,0.00004356349,0.9971404,0.0001006325,0.00003373094,0.002440337],"study_design_scores_gemma":[0.00003061681,0.0003268841,0.001369299,0.0000117991,0.00001862768,0.0001009591,0.00002834345,0.002646832,0.9899843,0.0001140776,0.00534712,0.00002114244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8172246,0.001643747,0.1737489,0.0003673005,0.0002959205,0.0009195336,0.001041302,0.001282441,0.003476214],"genre_scores_gemma":[0.7891243,0.001261097,0.201082,0.0001985271,0.00006114405,0.0007260457,0.002275334,0.0001824764,0.005089039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009211957,"threshold_uncertainty_score":0.003081679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550532563824508,"score_gpt":0.2052027340653211,"score_spread":0.179697408427076,"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."}}