{"id":"W2015279423","doi":"10.1016/j.biortech.2011.12.034","title":"Development of biofilm on geotextile in a new multi-zone wastewater treatment system for simultaneous removal of COD, nitrogen and phosphorus","year":2011,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Ministère de l'Agriculture et de l'Alimentation; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Phosphorus; Biofilm; Nitrogen; Biomass (ecology); Geotextile; Wastewater; Sewage treatment; Pulp and paper industry; Chemistry; Total organic carbon; Environmental engineering; Environmental chemistry; Environmental science; Ecology; Biology; Geology; Geotechnical engineering; Organic chemistry","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":[0.00009339218,0.0001368299,0.000228919,0.0001214481,0.00003105881,0.000001967917,0.0001361411,0.0001824743,0.00004022899],"category_scores_gemma":[0.00001528124,0.0001059062,0.00003147967,0.0001650987,0.000144984,0.0000127354,0.00008838408,0.00003838201,0.00002444682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597254,"about_ca_system_score_gemma":0.00002433184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005920811,"about_ca_topic_score_gemma":0.0003767733,"domain_scores_codex":[0.9991236,0.00001162769,0.0003171702,0.0002581647,0.00007842289,0.0002109733],"domain_scores_gemma":[0.9996073,0.00002211576,0.0001407489,0.0001787181,0.000007137842,0.00004395856],"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":[0.0002971221,0.0003375921,0.008838215,0.00005044928,0.00002177593,0.00002663562,0.002146554,0.0000415096,0.910622,0.00008316309,0.00001861374,0.07751638],"study_design_scores_gemma":[0.001281656,0.0005057855,0.0006661836,0.00003812711,0.0000146935,0.00002449671,0.0006222923,0.0008178572,0.9842606,0.00002243668,0.01161568,0.00013022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990155,0.000158604,0.0001251282,0.00002387513,0.00002582716,0.0004952464,0.0000174372,0.00003613994,0.0001022445],"genre_scores_gemma":[0.9570042,0.00001929931,0.04277822,0.000004983813,0.000005302022,0.00001504897,0.000008218886,0.00001133955,0.0001534017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07738616,"threshold_uncertainty_score":0.431873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930529894585124,"score_gpt":0.2078636208161734,"score_spread":0.1885583218703222,"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."}}