{"id":"W3136352423","doi":"10.1016/j.scitotenv.2021.146488","title":"Shaping biofilm microbiomes by changing GAC location during wastewater anaerobic digestion","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; China Scholarship Council","keywords":"Geobacter; Biofilm; Methanobacterium; Methanosaeta; Chemistry; Wastewater; Anaerobic digestion; Methanogenesis; Methanosarcina; Hydraulic retention time; Microbial population biology; Microbiology; Microorganism; Bacteria; Pulp and paper industry; Archaea; Environmental engineering; Methane; Biology; Environmental science; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000166353,0.0002096565,0.0003424676,0.0001935502,0.0002969939,0.0009610705,0.0002110707,0.0004045364,0.000779694],"category_scores_gemma":[0.00043216,0.0001774408,0.0001807618,0.0001973317,0.0003332651,0.0003185828,0.0004529855,0.0004061665,0.0002282615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004224583,"about_ca_system_score_gemma":0.0004435959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003043574,"about_ca_topic_score_gemma":0.006914881,"domain_scores_codex":[0.9997634,0.00003207006,0.000009037963,0.00006587544,0.00004688509,0.0000827274],"domain_scores_gemma":[0.9998776,0.0000205242,0.00002279516,0.000009467456,0.00003522172,0.00003451716],"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":[0.0001861183,0.0000170839,0.001894259,0.00002035209,0.000005796425,0.0000187657,0.00006132023,0.0002080418,0.9950335,0.00005731558,0.00005689531,0.00244053],"study_design_scores_gemma":[0.00004352645,0.0007356681,0.1502435,0.00006505629,0.00008104814,0.0002210643,0.002754449,0.01281144,0.8265796,0.0006679376,0.005712413,0.00008419567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984445,0.0001413515,0.000721041,0.00006032698,0.00002223984,0.000007742625,0.0001496417,0.00001496439,0.0004382102],"genre_scores_gemma":[0.9979035,0.0001253922,0.001171053,0.00006450774,0.000004342452,0.00001322634,0.0001138116,0.00001874923,0.0005853838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003043574,"threshold_uncertainty_score":0.006051719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006936478616554802,"score_gpt":0.1798614909174897,"score_spread":0.1729250123009349,"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."}}