{"id":"W4250719477","doi":"10.32920/ryerson.14657751.v1","title":"The Enrichment and Characterization of Compost and Wastewater-Derived Microbial Cellulolytic Consortia for Biofuel Production","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Compost; Wastewater; Pulp and paper industry; Biofuel; Cellulose; Biomass (ecology); Chemistry; Food science; Ethanol fuel; Fermentation; Nutrient; Bioenergy; Environmental science; Waste management; Biotechnology; Biology; Agronomy; Environmental engineering; Biochemistry; Organic chemistry","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":[0.0005739319,0.0006295315,0.0003989173,0.0004373065,0.0002526611,0.0008594102,0.0002288907,0.0004140924,0.000351838],"category_scores_gemma":[0.0007131239,0.0001350185,0.0002964247,0.0006242132,0.0002347223,0.0004028504,0.0005221567,0.0004865498,0.0002868877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001775771,"about_ca_system_score_gemma":0.0003625018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004391395,"about_ca_topic_score_gemma":0.0006501584,"domain_scores_codex":[0.9996215,0.00009268185,0.00003685107,0.00004987087,0.0001374226,0.00006166645],"domain_scores_gemma":[0.9998651,0.00003801753,0.00002174185,0.00001259766,0.00003388519,0.00002873762],"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":[0.00003469273,0.00005095302,0.0005856885,0.00004007729,0.000003740935,0.00006795222,0.00002029146,0.0001202534,0.9957774,0.0000289597,0.00001412166,0.00325583],"study_design_scores_gemma":[0.000006080004,0.0001281583,0.004208124,0.00001200168,0.00001240317,0.0002019361,0.00007170534,0.0008931959,0.9931397,0.00008683292,0.001231913,0.000008059222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849652,0.001819952,0.01140071,0.0001610745,0.00003957655,0.00007059881,0.0004257945,0.00004863572,0.001068533],"genre_scores_gemma":[0.9791442,0.001959925,0.01567405,0.00004184008,0.00002026746,0.00007181033,0.001410943,0.00003630778,0.001640675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008594102,"threshold_uncertainty_score":0.003035307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141881093011582,"score_gpt":0.1991460090121241,"score_spread":0.1877271980820083,"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."}}