{"id":"W2735959096","doi":"10.2166/wqrj.2017.016","title":"Organic matter capture by a high-rate inoculum-chemostat and MBBR system","year":2015,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Saint-Laurent; WSP (Canada); EnviroSim (Canada); Polytechnique Montréal","funders":"","keywords":"Chemostat; Hydraulic retention time; Bioreactor; Wastewater; Organic matter; Environmental science; Pulp and paper industry; Moving bed biofilm reactor; Volumetric flow rate; Chemistry; Environmental engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004875912,0.0001995925,0.0002533057,0.00006984659,0.0003906413,0.0004110628,0.0003334025,0.0001119198,0.001706811],"category_scores_gemma":[0.00002972075,0.0001187639,0.00006524312,0.0001611493,0.0003174318,0.0004262316,0.0004677192,0.0006087046,0.003818444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005806515,"about_ca_system_score_gemma":0.00003032522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155581,"about_ca_topic_score_gemma":0.00005510731,"domain_scores_codex":[0.9960286,0.00131747,0.000376024,0.0003567193,0.001076133,0.0008450579],"domain_scores_gemma":[0.9988414,0.00004533504,0.00006037588,0.0002730386,0.00007277623,0.0007070989],"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":[0.0004293208,0.0002510209,0.1077262,0.00008503695,0.0001839078,0.0005449415,0.01255936,0.000008856851,0.7108405,0.00003677691,0.1667676,0.0005665336],"study_design_scores_gemma":[0.007952276,0.0008182708,0.02317001,0.0001431209,0.0001000425,0.003794308,0.0219523,0.0001091145,0.8948897,0.004771671,0.04104907,0.001250136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952006,0.0001751687,0.00003852842,0.003163666,0.0001144322,0.0001950463,0.00001564286,0.00002573266,0.001071172],"genre_scores_gemma":[0.9907422,0.00001556277,0.0006289394,0.0001497612,0.0001127053,0.000008207249,0.00002263613,0.00002769484,0.008292266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1840491,"threshold_uncertainty_score":0.9992058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05849076928314013,"score_gpt":0.3146767149023477,"score_spread":0.2561859456192076,"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."}}