{"id":"W4247369223","doi":"10.21203/rs.2.18473/v2","title":"New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metagenomics; Biogas; Microbiome; Biomass (ecology); Genome; Biology; Biogas production; Anaerobic digestion; Microbial ecology; Biochemical engineering; Biotechnology; Computational biology; Methane; Ecology; Bioinformatics; Gene; Engineering; Bacteria; Genetics","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":[0.0008237676,0.0008652053,0.000613502,0.001798434,0.0004773319,0.001392427,0.000296787,0.0005191608,0.0007979536],"category_scores_gemma":[0.0008889455,0.0002975877,0.001020407,0.00158875,0.0002345948,0.0007163993,0.0009561596,0.0006811932,0.0004210614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000283068,"about_ca_system_score_gemma":0.0004669765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138964,"about_ca_topic_score_gemma":0.00174613,"domain_scores_codex":[0.999554,0.00007582552,0.00004148647,0.0001481334,0.0001053271,0.00007527218],"domain_scores_gemma":[0.9997045,0.00007849171,0.00005199284,0.00006347857,0.0000577705,0.00004368906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006779411,0.0002073577,0.04657395,0.0005782148,0.0004232276,0.0002546657,0.0004274973,0.003273943,0.9080239,0.0005968006,0.0005966235,0.03836588],"study_design_scores_gemma":[0.00006971831,0.0007998997,0.6642425,0.0003666898,0.001449974,0.001664406,0.001967776,0.03712223,0.2504545,0.004432292,0.03725921,0.0001707669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699832,0.002163572,0.01327281,0.0001081362,0.00002994003,0.00003718968,0.01318159,0.0002174445,0.001006136],"genre_scores_gemma":[0.9244604,0.001196882,0.04112107,0.00009775006,0.00002383834,0.00006128025,0.03224736,0.0001663465,0.0006252252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001798434,"threshold_uncertainty_score":0.004356563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05618022595544216,"score_gpt":0.2862041035942743,"score_spread":0.2300238776388321,"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."}}