{"id":"W4403036064","doi":"10.3390/w16192798","title":"A Novel Algal–Algal Microbial Fuel Cell for Enhanced Chemical Oxygen Demand Removal","year":2024,"lang":"en","type":"article","venue":"Water","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Chemical oxygen demand; Microbial fuel cell; Oxygen; Environmental science; Biochemical oxygen demand; Waste management; Pulp and paper industry; Chemistry; Environmental engineering; Sewage treatment; Engineering; Organic chemistry","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":[0.0001369202,0.0002995658,0.0003568679,0.0002484131,0.0003181114,0.000332846,0.0003853003,0.0005672346,0.0004215836],"category_scores_gemma":[0.00009306132,0.0001000247,0.000264875,0.0002527512,0.0001003091,0.0005440216,0.0002399368,0.0003851536,0.0002529954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002791082,"about_ca_system_score_gemma":0.0002741803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115021,"about_ca_topic_score_gemma":0.002497529,"domain_scores_codex":[0.9998858,0.000006851398,0.00000830812,0.00002439292,0.00006214384,0.00001249362],"domain_scores_gemma":[0.9999707,0.000003026326,0.000002751124,0.000001539375,0.00001343187,0.000008605791],"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":[0.00004404722,0.00005736295,0.0002103728,0.0001117589,0.000008563875,0.0001074758,0.000008613642,0.0005197905,0.9902683,0.0002466479,0.0001205605,0.008296551],"study_design_scores_gemma":[0.00003486713,0.0002887618,0.001310205,0.000008851292,0.00003671236,0.0004116064,0.00002040401,0.01883305,0.9670798,0.0001510303,0.01180108,0.00002371513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274293,0.007515501,0.06007921,0.0003981807,0.0004937967,0.0001414212,0.0006273232,0.000355151,0.002960185],"genre_scores_gemma":[0.9409549,0.00332662,0.05177004,0.000165304,0.00006351826,0.00007461645,0.0005351437,0.00001864314,0.003091287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00115021,"threshold_uncertainty_score":0.002286971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006814647873201922,"score_gpt":0.199212397367744,"score_spread":0.1923977494945421,"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."}}