{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000534142,0.0002241875,0.0001615619,0.0001157719,0.0008705871,0.00009158418,0.0001612725,0.0000951194,0.0004016609],"category_scores_gemma":[0.00001616516,0.0001814523,0.00004083227,0.0001056439,0.0002854578,0.0004727092,0.0002737749,0.0001477085,0.0002441018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934355,"about_ca_system_score_gemma":0.00001196033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005697261,"about_ca_topic_score_gemma":0.000003000728,"domain_scores_codex":[0.9977494,0.00007946823,0.0003395999,0.0006230099,0.0005884126,0.0006200338],"domain_scores_gemma":[0.9993868,0.000039932,0.00004397999,0.0002827115,0.00002187487,0.0002246944],"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":[0.0001430544,0.00006157561,0.01683016,0.00004228641,0.00003678642,0.00002867646,0.003397098,0.004147655,0.9690207,0.00001483827,0.0001627246,0.006114473],"study_design_scores_gemma":[0.001405958,0.0004246165,0.03368768,0.0000181401,0.00004748768,0.0005028769,0.0002573752,0.02112599,0.9325756,0.000412496,0.009049427,0.00049234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960439,0.0001692281,0.002407284,0.0004040168,0.00004241596,0.0008104682,0.000009012478,0.00003102109,0.00008266205],"genre_scores_gemma":[0.9857742,0.0003784512,0.007043978,0.00001249965,0.00008621744,0.00007810115,0.00007478314,0.00003521695,0.006516621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03644506,"threshold_uncertainty_score":0.7399412,"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."}}