{"id":"W7045952435","doi":"","title":"Cellular metabolic markers and growth dynamics definition of functional groups in activated sludge wastewater treatment heterotrophic population","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Génome Québec; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Activated sludge; Microbial population biology; Population; Heterotroph; Sewage treatment; Wastewater; Biomass (ecology); Niche","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001923437,0.0002256944,0.0002352026,0.0004969448,0.0002118538,0.000651769,0.0001325821,0.0002746835,0.0004245842],"category_scores_gemma":[0.0002697977,0.0001433291,0.0003286488,0.000551288,0.000156244,0.0002829811,0.0003701641,0.0002813889,0.0001310878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048867,"about_ca_system_score_gemma":0.0002236039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005275636,"about_ca_topic_score_gemma":0.000508887,"domain_scores_codex":[0.9998329,0.00001970474,0.00001558803,0.00006536771,0.00004370025,0.00002265161],"domain_scores_gemma":[0.9998382,0.00003186058,0.00005681708,0.00000942097,0.00004274336,0.00002079822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000239475,0.00008422109,0.03737643,0.0001611583,0.00002307975,0.00006213373,0.0005126899,0.00192751,0.9438931,0.0002919564,0.00008325656,0.01534503],"study_design_scores_gemma":[0.00001335414,0.001497454,0.4606192,0.0001073252,0.0001025902,0.0002768772,0.002089799,0.02185599,0.5079541,0.0009050801,0.004508931,0.00006926005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979379,0.000261855,0.001032918,0.00001676866,0.000004343327,0.00001113474,0.0003085889,0.000005698604,0.0004206985],"genre_scores_gemma":[0.9946689,0.000453051,0.003138094,0.00001281507,0.000005558206,0.00007504259,0.00066445,0.000006227033,0.0009758083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000651769,"threshold_uncertainty_score":0.001486599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315112679546801,"score_gpt":0.19704510422733,"score_spread":0.183893977431862,"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."}}