{"id":"W2473323988","doi":"10.2175/106143008x304703","title":"A New, Pellet‐Forming Fungal Strain: Its Isolation, Molecular Identification, and Performance for Simultaneous Sludge‐Solids Reduction, Flocculation, and Dewatering","year":2008,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Dewatering; Settling; Biodegradation; Activated sludge; Flocculation; Pulp and paper industry; Wastewater; Segmented filamentous bacteria; Microorganism; Chemistry; Biomass (ecology); Sewage treatment; Pellet; Chromatography; Waste management; Environmental engineering; Biology; Environmental science; Bacteria; Ecology; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004066369,0.000993069,0.0003822604,0.000484038,0.000248953,0.0005338445,0.0003092233,0.0004462454,0.0005035709],"category_scores_gemma":[0.0004391255,0.0001659231,0.0004150668,0.0003866763,0.0001828383,0.0004870263,0.0002998633,0.0005128388,0.0003298982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418653,"about_ca_system_score_gemma":0.0003115385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000881809,"about_ca_topic_score_gemma":0.001287309,"domain_scores_codex":[0.9996666,0.00004092447,0.00004680041,0.0000912187,0.0001149845,0.00003941933],"domain_scores_gemma":[0.9996743,0.000053798,0.00007182873,0.00004997606,0.00008366605,0.00006644243],"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":[0.00004823584,0.00006402301,0.001138495,0.00003048255,0.000006615515,0.00004020022,0.0000143443,0.00003708787,0.9926546,0.00001966332,0.00002390313,0.005922347],"study_design_scores_gemma":[0.00001667122,0.0005391045,0.01299009,0.00001097931,0.00005597652,0.001456201,0.00004698154,0.001070127,0.9822333,0.00003325151,0.001535731,0.00001158269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799628,0.001439127,0.01718809,0.0001506065,0.00003999674,0.0001020581,0.0004823485,0.00009480431,0.0005403206],"genre_scores_gemma":[0.9354027,0.001472142,0.05923501,0.00005526064,0.00003331345,0.00006753714,0.002038699,0.00004687137,0.001648389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000993069,"threshold_uncertainty_score":0.002150536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02878331557698696,"score_gpt":0.2586395470738813,"score_spread":0.2298562314968944,"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."}}