{"id":"W4387479534","doi":"10.1016/j.fuel.2023.129932","title":"Probing the effect of distance between sediment microbial fuel cells and sediment storage on electricity generation and organic matter removal in open channels","year":2023,"lang":"en","type":"article","venue":"Fuel","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Ferdowsi University of Mashhad","keywords":"Microbial fuel cell; Sediment; Chemistry; Power density; Organic matter; Environmental engineering; Environmental science; Environmental chemistry; Electricity generation; Power (physics); Geology; Thermodynamics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006556727,0.0001224666,0.000156303,0.00003523057,0.00007542653,0.0000609934,0.0001503241,0.00005354016,0.0001431445],"category_scores_gemma":[0.000007359938,0.00008502464,0.00001669548,0.0002653868,0.00005351032,0.0001035228,0.0002344061,0.00009836636,0.00008328352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118443,"about_ca_system_score_gemma":0.00000547478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001751513,"about_ca_topic_score_gemma":0.0001083182,"domain_scores_codex":[0.999057,0.0001217004,0.0001867673,0.0002902109,0.0001509639,0.0001933611],"domain_scores_gemma":[0.9996819,0.00006036326,0.00008793236,0.0001292611,0.000003485955,0.00003709103],"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":[0.00004445048,0.00002180763,0.0207766,0.00008528072,0.000007400227,0.000003949598,0.0008014127,0.0001861416,0.9731188,0.000003046823,0.003586884,0.001364227],"study_design_scores_gemma":[0.001908322,0.0007305805,0.08550116,0.00007695318,0.00004413333,0.000004213764,0.00003919142,0.002303412,0.9024897,0.0001169577,0.006416191,0.0003692113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981683,0.00005008596,0.00004743565,0.0003717689,0.0001430774,0.0008383626,0.00001757591,0.000009030521,0.0003543851],"genre_scores_gemma":[0.9991666,0.00006722896,0.00005000454,0.0001282866,0.0001024839,0.00001459071,0.0000313883,0.00001113541,0.0004282574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07062913,"threshold_uncertainty_score":0.3467204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035545553096848,"score_gpt":0.2159498533024563,"score_spread":0.2055943977714879,"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."}}