{"id":"W2095108910","doi":"10.1016/j.biortech.2013.07.054","title":"Parameter estimation and characterization of a single-chamber microbial fuel cell for dairy wastewater treatment","year":2013,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microbial fuel cell; Wastewater; Ohmic contact; Saturation (graph theory); Biological system; Conductivity; Biofilm; Voltage; Estimation theory; Polarization (electrochemistry); Analytical Chemistry (journal); Materials science; Environmental science; Chemistry; Pulp and paper industry; Soil science; Mathematics; Thermodynamics; Environmental engineering; Chromatography; Electricity generation; Algorithm; Electrode; Engineering; Physics; Biology; Electrical engineering; Power (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005045523,0.0005943252,0.0009693193,0.0004361069,0.0004748663,0.001023997,0.0007746769,0.0009922785,0.0007190778],"category_scores_gemma":[0.00116238,0.0003686585,0.0005217104,0.000302896,0.0002325597,0.0005385603,0.0003971029,0.0004638519,0.0002210154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005970331,"about_ca_system_score_gemma":0.0006047203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006368001,"about_ca_topic_score_gemma":0.004787618,"domain_scores_codex":[0.9997521,0.00002658088,0.0000162146,0.00007700386,0.0001040813,0.00002408375],"domain_scores_gemma":[0.9995447,0.0002659592,0.00003389582,0.00003268956,0.0001041595,0.00001871445],"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":[0.001065339,0.0003571525,0.0152191,0.0002940445,0.0001515318,0.0002166187,0.0001100527,0.1697547,0.7471849,0.0002407635,0.0003288604,0.06507682],"study_design_scores_gemma":[0.00003349533,0.0003710366,0.01029502,0.000007986077,0.00006556591,0.0001063096,0.0000751843,0.5800759,0.408124,0.0001578449,0.0006484436,0.00003922586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619827,0.0005008737,0.03618827,0.0001622012,0.00002250617,0.0000381142,0.0003298086,0.0001581204,0.0006175655],"genre_scores_gemma":[0.9962497,0.0001017415,0.00316035,0.0000103169,0.000002639835,0.00001634906,0.0001438054,0.00001202497,0.0003030502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006368001,"threshold_uncertainty_score":0.01266187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008784586080552206,"score_gpt":0.1865635176448101,"score_spread":0.1777789315642579,"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."}}