{"id":"W2281039258","doi":"10.1016/j.watres.2016.02.054","title":"The yield and decay coefficients of exoelectrogenic bacteria in bioelectrochemical systems","year":2016,"lang":"en","type":"article","venue":"Water Research","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canada Foundation for Innovation; Ontario Ministry of Economic Development and Innovation; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Microbial fuel cell; Wastewater; Chemistry; Yield (engineering); Volatile suspended solids; Chemical oxygen demand; Electrolysis; Sewage treatment; Pulp and paper industry; Electron acceptor; Environmental chemistry; Environmental engineering; Environmental science; Thermodynamics; Anode; Physics; Organic chemistry","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":[0.0009944149,0.0000438059,0.00005757208,0.0000289726,0.00006405281,0.00002542214,0.0001626473,0.0000423393,0.0001948753],"category_scores_gemma":[0.00003101637,0.00001798984,0.00001205588,0.0001147286,0.000217049,0.0000371114,0.0001637914,0.00007242494,0.0001153021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008003788,"about_ca_system_score_gemma":0.000005661126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003694816,"about_ca_topic_score_gemma":0.0002107119,"domain_scores_codex":[0.9990484,0.00007882054,0.0001275945,0.0001519704,0.0002112281,0.0003819861],"domain_scores_gemma":[0.9997519,0.00006019288,0.0000121286,0.000119509,0.00001180759,0.00004451137],"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":[0.00003418458,0.00001661058,0.007339609,0.000005355357,0.000001506819,6.313408e-7,0.00008502914,3.061258e-7,0.9905575,0.00001859424,0.0002765663,0.00166412],"study_design_scores_gemma":[0.0001292885,0.00007566462,0.002036967,0.00001411904,5.850144e-7,0.000002235947,0.000013199,0.00002418239,0.9929017,0.00005050171,0.004716491,0.0000350947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990552,0.00007211183,0.00001793894,0.0003569851,0.0000304995,0.000159126,0.000001471879,0.00000293794,0.0003037392],"genre_scores_gemma":[0.9992518,0.0001616997,0.000004280898,0.000003478095,0.0000159711,0.000009078961,0.00000123989,0.000004151003,0.0005482937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005302642,"threshold_uncertainty_score":0.2133748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612715247961376,"score_gpt":0.2692687352673057,"score_spread":0.2431415827876919,"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."}}