{"id":"W3167129203","doi":"10.1016/j.ecoenv.2021.112354","title":"Impacts of water level fluctuations on mercury concentrations in hydropower reservoirs: A microcosm experiment","year":2021,"lang":"en","type":"article","venue":"Ecotoxicology and Environmental Safety","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Western University; Ministry of Environment; The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microcosm; Methylmercury; Mercury (programming language); Environmental science; Biota; Environmental chemistry; Sediment; Food web; Aquatic ecosystem; Ecotoxicology; Bioaccumulation; Ecology; Chemistry; Ecosystem; Biology","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":[0.0003041304,0.0004200283,0.000440546,0.0002574933,0.0005267785,0.0005230632,0.0007286709,0.0005774323,0.0008338836],"category_scores_gemma":[0.0005081911,0.0002788763,0.0005388593,0.0002581801,0.000529643,0.0003668728,0.0007793483,0.0009865048,0.0001044753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007915602,"about_ca_system_score_gemma":0.0007361181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005554351,"about_ca_topic_score_gemma":0.01169257,"domain_scores_codex":[0.9995433,0.00006404731,0.00003416879,0.0001591591,0.0001153945,0.00008392118],"domain_scores_gemma":[0.9991643,0.0001351359,0.0002109554,0.00009718027,0.0001844096,0.0002080646],"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":[0.001924149,0.001851408,0.008973756,0.00007925688,0.00006508305,0.0001321202,0.0002606877,0.0005729354,0.9819708,0.00006934856,0.0001487788,0.003951801],"study_design_scores_gemma":[0.0006406254,0.05213737,0.1824006,0.00002806666,0.0005328316,0.000233036,0.0007761462,0.01249709,0.7471964,0.0004985745,0.002886246,0.0001729506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985911,0.00002869859,0.0006364305,0.00002544718,0.00001267178,0.0001368019,0.0003083078,0.00002349492,0.0002371878],"genre_scores_gemma":[0.9933443,0.0001162855,0.004401986,0.000163319,0.00001484242,0.0005004577,0.0003847457,0.00001542832,0.001058645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005554351,"threshold_uncertainty_score":0.01104403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852939753628192,"score_gpt":0.2622116239554145,"score_spread":0.2436822264191326,"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."}}