{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003933155,0.001112336,0.0005293339,0.00182862,0.0008747869,0.001925792,0.0008460737,0.001783096,0.9580966],"category_scores_gemma":[0.0006003761,0.0002780108,0.000469366,0.001274306,0.0005713652,0.001154238,0.001440224,0.0008294086,0.9496335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007263214,"about_ca_system_score_gemma":0.0004559563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002923002,"about_ca_topic_score_gemma":0.001938693,"domain_scores_codex":[0.999773,0.00001689129,0.00001213593,0.00006755027,0.00007321913,0.00005727239],"domain_scores_gemma":[0.9995489,0.00007047057,0.00002252375,0.00007414525,0.0001587128,0.000125295],"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":[0.0002821462,0.000362859,0.001530954,0.0003866826,0.00002878901,0.000358685,0.0001179157,0.0005878923,0.01702266,0.006759189,0.2197743,0.7527879],"study_design_scores_gemma":[0.00005612877,0.00008736303,0.001666664,0.0001317761,0.00001126406,0.0003649139,0.00007877462,0.0006936205,0.002096059,0.001096443,0.9936978,0.00001921864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004348634,0.0005256133,0.005213623,0.0006849806,0.0007830441,0.0001648508,0.001634185,0.003560147,0.9830849],"genre_scores_gemma":[0.0046061,0.0001381383,0.001509936,0.000265271,0.00005427537,0.00005181363,0.00116583,0.0003181716,0.9918904],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04190344,"threshold_uncertainty_score":0.05977017,"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."}}