{"id":"W3106641579","doi":"10.1016/j.jhazmat.2020.124663","title":"Mechanistic insights into organic carbon-driven water blackening and odorization of urban rivers","year":2020,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Guangzhou Science and Technology Program key projects; National Natural Science Foundation of China","keywords":"Environmental science; Eutrophication; Total organic carbon; Aquatic ecosystem; Organic matter; Environmental chemistry; Nutrient; Sediment; Sewage; Dissolved organic carbon; Environmental remediation; Ecology; Environmental engineering; Biology; Chemistry; Contamination","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":[0.0001672842,0.0003087767,0.0001367496,0.0002100821,0.0002789074,0.0005413133,0.0003327026,0.00046306,0.002593059],"category_scores_gemma":[0.0001510035,0.000148071,0.0002595467,0.0001415376,0.0003614982,0.0005026739,0.0003665314,0.0003343656,0.0001664541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005763128,"about_ca_system_score_gemma":0.0004987206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003006586,"about_ca_topic_score_gemma":0.004144328,"domain_scores_codex":[0.9999186,0.00001099597,0.000002757987,0.00001929397,0.00001100557,0.00003736073],"domain_scores_gemma":[0.9999491,0.00001175374,0.00001392946,0.000003879797,0.00001193597,0.00000939103],"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":[0.0005141839,0.0004002345,0.03701664,0.0003262205,0.00007891186,0.0008395115,0.0003341423,0.02433378,0.8973272,0.02367235,0.0006720333,0.01448467],"study_design_scores_gemma":[0.00008202028,0.0006777062,0.1516514,0.00006065777,0.0001070437,0.0004954563,0.004926589,0.2089422,0.5986426,0.02438926,0.009927243,0.00009781565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907246,0.0003351795,0.004950817,0.0003302348,0.00001744714,0.00002877909,0.0002899791,0.00003267044,0.003290283],"genre_scores_gemma":[0.9988711,0.0001599261,0.0003855029,0.00002548006,0.000001990894,0.000005707057,0.00007114312,0.000002249715,0.0004768229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003006586,"threshold_uncertainty_score":0.008674681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007793674447383329,"score_gpt":0.191633791520872,"score_spread":0.1838401170734887,"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."}}