{"id":"W3009144379","doi":"10.1186/s13068-020-01679-y","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":"article","venue":"Biotechnology for Biofuels","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Università degli Studi di Padova","keywords":"Metagenomics; Biogas; Microbiome; Biology; Biotechnology; Genome; Bioenergy; Biofuel; Ecology; Bioinformatics; Gene; 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":[0.0008746723,0.001015636,0.0006118314,0.002003273,0.0005134419,0.001189098,0.0003284772,0.0005184,0.0007606855],"category_scores_gemma":[0.001029047,0.000301015,0.001147788,0.001626549,0.0002615868,0.000918212,0.001148263,0.0008114038,0.000376269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003229777,"about_ca_system_score_gemma":0.0005728017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009536367,"about_ca_topic_score_gemma":0.001991627,"domain_scores_codex":[0.9995665,0.00007043499,0.00004110459,0.0001385837,0.0001107776,0.00007259104],"domain_scores_gemma":[0.9996454,0.00008309049,0.00007582999,0.00006517177,0.00007317578,0.00005746915],"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":[0.0005909372,0.000196434,0.04892244,0.0009154326,0.0005251585,0.0002246781,0.0005136292,0.002358797,0.9017987,0.0006540383,0.0006787481,0.0426211],"study_design_scores_gemma":[0.00007969714,0.00111715,0.7068983,0.0006451262,0.002268432,0.002126836,0.002128406,0.03341635,0.1947591,0.005402574,0.0509505,0.0002074862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582302,0.004786846,0.02009911,0.000183228,0.00004403352,0.00006192612,0.01482159,0.0003165407,0.001456564],"genre_scores_gemma":[0.901835,0.002404988,0.06000529,0.0001587112,0.00003564117,0.00008961215,0.03471564,0.0001807121,0.0005742605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002003273,"threshold_uncertainty_score":0.004625738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915669689779966,"score_gpt":0.1979205899907486,"score_spread":0.178763893092949,"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."}}