{"id":"W3012118330","doi":"10.1016/j.biortech.2020.123168","title":"Hygienization and microbial metabolic adaptation during anaerobic co-digestion of swine manure and corn stover","year":2020,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; Ontario Pork","keywords":"Corn stover; Clostridia; Anaerobic digestion; Microbial population biology; Manure; Chemistry; Biomass (ecology); Digestion (alchemy); Food science; Stover; Bioenergy; Microbial consortium; Animal science; Agronomy; Biofuel; Bacteria; Fermentation; Microorganism; Methane; Biology; Biotechnology; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004076079,0.00012037,0.0001640048,0.0002108858,0.00004922994,0.00001094563,0.00005624384,0.0001735852,0.00001155953],"category_scores_gemma":[0.00003990068,0.0001254086,0.00001583327,0.0003548063,0.0001318648,0.00008081134,0.00002945365,0.0001162393,0.000005316208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001443025,"about_ca_system_score_gemma":0.000005172644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007098064,"about_ca_topic_score_gemma":0.000004435115,"domain_scores_codex":[0.9994195,0.00001179556,0.000179436,0.0002015054,0.00006227804,0.0001254533],"domain_scores_gemma":[0.9997585,0.000005090823,0.00005723314,0.00009722226,0.00003740301,0.00004456479],"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":[0.00005795503,0.00002262973,0.006984661,0.00008722112,0.00004647552,0.000003204635,0.0007006191,0.002122528,0.9692985,0.008650449,0.0003204802,0.01170531],"study_design_scores_gemma":[0.002452992,0.000377722,0.1362223,0.00008302386,0.0001567556,0.0001309137,0.001457209,0.01112413,0.8096151,0.000213741,0.03749847,0.0006676922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950054,0.0008284587,0.002567241,0.0008838179,0.00005095879,0.0001509165,0.000009151084,0.0004566064,0.00004747601],"genre_scores_gemma":[0.9985126,0.0002646405,0.001059082,0.00002822619,0.00006105188,0.000004236097,0.00002602896,0.0000188017,0.00002530899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1596834,"threshold_uncertainty_score":0.5114014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008229783571236611,"score_gpt":0.1862960114005187,"score_spread":0.1780662278292821,"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."}}