{"id":"W2758156951","doi":"10.51847/0yzcjqg","title":"10.51847/0YzCjqg","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microbial fuel cell; Wastewater; Cellulosic ethanol; Pulp and paper industry; Microorganism; Bioenergy; Bacteria; Cellulose; Electricity generation; Biomass (ecology); Bacterial cellulose; Microbial consortium; Sewage treatment; Environmental science; Chemistry; Biotechnology; Waste management; Biofuel; Environmental engineering; Biology; Biochemistry; Ecology; Engineering; Power (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007168674,0.00006104228,0.00005179202,0.000009788821,0.00004386803,0.00001609899,0.0001122054,0.00003005533,0.9992821],"category_scores_gemma":[0.000004699502,0.00005387529,0.00002252031,0.0001159722,0.0000229495,0.00005977347,0.00003475315,0.00003009478,0.9968701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003852178,"about_ca_system_score_gemma":0.000002200376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000660732,"about_ca_topic_score_gemma":7.732209e-7,"domain_scores_codex":[0.9995136,0.00001233972,0.00007711544,0.0001430357,0.0001100148,0.0001439018],"domain_scores_gemma":[0.9997842,0.000006697314,0.00001117784,0.0001172235,0.000001921178,0.00007875399],"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":[0.00001601443,0.0000234702,0.000003291327,9.52187e-7,0.000001144539,0.000001178959,0.00001205072,0.0001573357,0.01824056,8.235056e-8,0.1060852,0.8754587],"study_design_scores_gemma":[0.00006453469,0.000046246,0.0005308809,0.000001596157,0.00000284246,0.000001252725,1.610841e-7,0.00009883971,0.0005361278,0.000001372386,0.9986328,0.00008328676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01888054,0.000005972458,3.522819e-7,0.0001836475,0.00000208735,0.00009395576,0.000004499728,0.00003481615,0.9807941],"genre_scores_gemma":[0.002047367,5.521559e-7,0.0001408614,0.0001319089,0.00005420736,0.000002760305,0.000009611317,0.000006513224,0.9976062],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8925476,"threshold_uncertainty_score":0.2196971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003385229656915468,"score_gpt":0.1503953574838146,"score_spread":0.1470101278268992,"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."}}