{"id":"W2899494045","doi":"10.1016/j.watres.2018.10.072","title":"Reactivation and pilot-scale application of long-term storage denitrification biofilm based on flow cytometry","year":2018,"lang":"en","type":"article","venue":"Water Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Fundamental Research Funds for the Central Universities; Major Science and Technology Program for Water Pollution Control and Treatment; National Natural Science Foundation of China","keywords":"Denitrification; Biofilm; Anoxic waters; Nitrate; Environmental chemistry; Chemistry; Environmental engineering; Biology; Environmental science; Ecology; Nitrogen; Bacteria","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":[0.0005692939,0.0003640028,0.00035807,0.0001503738,0.0002019776,0.0004917718,0.0003737196,0.0004561795,0.0005241615],"category_scores_gemma":[0.0003721563,0.00013544,0.0003921234,0.0001595389,0.0002440461,0.0004862033,0.0003523288,0.000395421,0.000123839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004262288,"about_ca_system_score_gemma":0.0003700845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001912718,"about_ca_topic_score_gemma":0.001773581,"domain_scores_codex":[0.9998049,0.00003179375,0.00002476489,0.00005686766,0.00004388039,0.00003782358],"domain_scores_gemma":[0.9998584,0.0000493982,0.00001793753,0.00002982264,0.00002923301,0.00001524637],"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":[0.00005877608,0.00005475911,0.0001373714,0.00002114698,0.000002700064,0.00001070286,0.00001458372,0.0001273953,0.9977709,0.00002514485,0.00001581824,0.001760653],"study_design_scores_gemma":[0.000007241134,0.0002363314,0.001149987,0.000002583408,0.000008266071,0.00001462175,0.00001719363,0.001806703,0.9964993,0.00002208648,0.0002295696,0.000006061138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939386,0.0003665697,0.004930743,0.00007143233,0.00003098608,0.00004990349,0.0001896571,0.00006845044,0.0003535987],"genre_scores_gemma":[0.9932853,0.0003710135,0.005171141,0.00002354422,0.000009013478,0.00005374359,0.000237922,0.0000127494,0.0008355721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001912718,"threshold_uncertainty_score":0.003803134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186443487340552,"score_gpt":0.3106299418564115,"score_spread":0.268765506983006,"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."}}