{"id":"W2348943026","doi":"","title":"Diverse Microbial Communities in Microbial Fuel Cells with Sugar Beet Residue as Substrate","year":2015,"lang":"en","type":"article","venue":"Anhui nongye kexue","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Microbial fuel cell; Microbial population biology; Bacteria; Pyrosequencing; Microbial consortium; Acidogenesis; Sugar beet; Food science; Cellulose; Sugar; Biofilm; Pulp and paper industry; Anode; Biology; Chemistry; Biochemistry; Microorganism; Ecology; Anaerobic digestion; Agronomy","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":[0.0001681019,0.0003931068,0.0003449895,0.0003549021,0.0004391732,0.0004320675,0.0001565663,0.0003281,0.0002239216],"category_scores_gemma":[0.000161759,0.0001431994,0.0002196531,0.0004114653,0.0001641332,0.0004628828,0.0002560147,0.0002107307,0.00005869242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356445,"about_ca_system_score_gemma":0.0002651815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879052,"about_ca_topic_score_gemma":0.002048213,"domain_scores_codex":[0.9998019,0.0000237977,0.00001275102,0.00005621322,0.00006732071,0.00003798201],"domain_scores_gemma":[0.9999436,0.000005921099,0.00001040814,0.000002572753,0.00002311235,0.00001443531],"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":[0.0001198018,0.00004466852,0.005610085,0.0001052317,0.00001911109,0.0001022556,0.0001263928,0.0002029077,0.988947,0.00005272884,0.00002556028,0.004644326],"study_design_scores_gemma":[0.0000224533,0.0005046713,0.1146666,0.00003386912,0.0001275368,0.0003671821,0.001071141,0.004132357,0.8765351,0.0002706017,0.002233099,0.00003527041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978867,0.0004813962,0.00118587,0.0000185969,0.000005868736,0.00001881992,0.0001559082,0.000006708568,0.0002401186],"genre_scores_gemma":[0.9938398,0.0006810996,0.004190201,0.00003478698,0.000005989476,0.00003961833,0.0005755359,0.000004461665,0.0006284043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001879052,"threshold_uncertainty_score":0.003736198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734046513430182,"score_gpt":0.2074642315726268,"score_spread":0.190123766438325,"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."}}