{"id":"W4378231733","doi":"10.26434/chemrxiv-2023-2tq29","title":"Phototrophic microbial fuel cells for sustainable power generation and wastewater treatment","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microbial fuel cell; Phototroph; Environmental science; Anode; Biomass (ecology); Sewage treatment; Waste management; Environmental engineering; Photosynthesis; Ecology; Chemistry; Biology; Botany; Electrode; Engineering","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":[0.0001585285,0.0002686949,0.000222207,0.00004231884,0.000116477,0.000135265,0.0001295168,0.0002599979,0.0005432201],"category_scores_gemma":[0.000009543583,0.000224983,0.0001137259,0.00006141925,0.00007767371,0.00007346286,0.000379643,0.0000994135,0.0002041903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000378965,"about_ca_system_score_gemma":0.00002627717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004120519,"about_ca_topic_score_gemma":0.00009464826,"domain_scores_codex":[0.9986649,0.00002049202,0.0002260636,0.0006180948,0.0001073772,0.0003631254],"domain_scores_gemma":[0.9994882,0.00001640185,0.0001121659,0.0002777172,0.00001989887,0.00008566501],"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":[0.0000232412,0.00006181758,0.0001460632,0.0001359376,0.00001984875,0.000008068109,0.0004040975,0.0004665272,0.9811603,0.00001041381,0.01748,0.000083632],"study_design_scores_gemma":[0.0006455779,0.0001487914,0.000319126,0.00001512307,0.00006654815,0.000001761805,0.00007258491,0.0009423355,0.9398737,0.0005395261,0.05697099,0.0004039613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972573,0.00009684951,0.00006159629,0.0003087314,0.000551608,0.001198312,0.00002117447,0.00005548952,0.0004489612],"genre_scores_gemma":[0.9747922,0.0005207583,0.001067115,0.00008960414,0.0003890541,0.0001950408,0.0004245759,0.00005379942,0.02246787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04128668,"threshold_uncertainty_score":0.9174539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910016843611803,"score_gpt":0.2173512972719314,"score_spread":0.1982511288358133,"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."}}