{"id":"W4386948618","doi":"10.1063/5.0165310","title":"Plant microbial fuel cell for the effective utilization of wastewater and bioenergy production","year":2023,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bioenergy; Microbial fuel cell; Environmental science; Wastewater; Production (economics); Waste management; Sewage treatment; Biofuel; Environmental engineering; Electricity generation; Engineering","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":[0.0001285569,0.0002154061,0.0002192323,0.0003615726,0.0004031578,0.0005911032,0.000317504,0.0004940432,0.00493102],"category_scores_gemma":[0.0001263661,0.0001010794,0.0001834589,0.0003191653,0.0001807206,0.0005263923,0.0002892317,0.0008460205,0.001043938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005666292,"about_ca_system_score_gemma":0.0003670305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043328,"about_ca_topic_score_gemma":0.002365952,"domain_scores_codex":[0.9999362,0.000004094142,0.000001485622,0.000007146748,0.0000413919,0.000009681888],"domain_scores_gemma":[0.9999739,0.000006695229,0.0000016169,0.000001689182,0.00001077116,0.000005337989],"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":[0.0001386284,0.00005969816,0.00019845,0.0003023696,0.00001916634,0.000119006,0.00002850234,0.001015496,0.9280263,0.005315935,0.004840354,0.05993615],"study_design_scores_gemma":[0.00003422913,0.0002552761,0.0008548522,0.00003494044,0.00002762854,0.0002465978,0.00005460412,0.01312076,0.9117825,0.001644984,0.07193127,0.00001234993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7384187,0.08842766,0.07891169,0.008170213,0.002996003,0.0001839866,0.00171806,0.001380173,0.07979345],"genre_scores_gemma":[0.9271289,0.02067111,0.01684277,0.0002714069,0.0002034109,0.00005143288,0.0008768557,0.00008073868,0.03387341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00493102,"threshold_uncertainty_score":0.01649594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899975449704423,"score_gpt":0.2153735831364657,"score_spread":0.1963738286394214,"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."}}