{"id":"W3196971317","doi":"10.3390/fermentation7030169","title":"Agricultural Waste and Wastewater as Feedstock for Bioelectricity Generation Using Microbial Fuel Cells: Recent Advances","year":2021,"lang":"en","type":"article","venue":"Fermentation","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microbial fuel cell; Waste management; Renewable energy; Commercialization; Environmental science; Fossil fuel; Raw material; Biodegradable waste; Agriculture; Electricity generation; Engineering; Business; Chemistry; Ecology","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":[0.0009041422,0.0006869291,0.0005815889,0.0009338897,0.000204535,0.001076178,0.0004025624,0.0007479795,0.001057903],"category_scores_gemma":[0.0005199909,0.0002682809,0.0004543326,0.001977491,0.0003481066,0.00162815,0.0005316079,0.0008590398,0.0005589262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003571761,"about_ca_system_score_gemma":0.0005095158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000770802,"about_ca_topic_score_gemma":0.001101905,"domain_scores_codex":[0.9997806,0.00003408095,0.00002452068,0.00005465309,0.00008000692,0.00002610825],"domain_scores_gemma":[0.9995826,0.0001662987,0.00006270721,0.00001531156,0.0001412701,0.00003179975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001617697,0.0002258013,0.001221063,0.01673221,0.0001475231,0.0003272299,0.0002635774,0.002997157,0.05002205,0.009644292,0.007455119,0.9108021],"study_design_scores_gemma":[0.00002517081,0.0009861988,0.003285675,0.001746935,0.0004464106,0.001426837,0.0005012031,0.005808691,0.07033933,0.006403972,0.9089117,0.0001178986],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006589461,0.9869099,0.002554193,0.0005406125,0.0001890674,0.000009305036,0.00003003115,0.00001574232,0.003161672],"genre_scores_gemma":[0.02558215,0.9695922,0.002955518,0.0002039537,0.0003199805,0.00001338091,0.00005793509,0.000006057638,0.001268769],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001076178,"threshold_uncertainty_score":0.004781604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724357186326146,"score_gpt":0.2386966225356736,"score_spread":0.2214530506724122,"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."}}