{"id":"W4407753215","doi":"10.1021/acs.est.4c12263","title":"Diminishing Mercury Bioaccumulation in Zooplankton along an Estuarine Salinity Gradient","year":2025,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs; Ministère des Ressources naturelles et des Forêts; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Bioaccumulation; Zooplankton; Mercury (programming language); Estuary; Salinity; Environmental science; Oceanography; Environmental chemistry; Fishery; Chemistry; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00007822627,0.000128906,0.0001025758,0.0003260597,0.0003263154,0.0003056565,0.0001852471,0.0001850543,0.0005252921],"category_scores_gemma":[0.0002127731,0.0001037704,0.0000999085,0.0004621571,0.0002615811,0.0001679393,0.0002211084,0.0001741405,0.00006259907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258767,"about_ca_system_score_gemma":0.0007362391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2259558,"about_ca_topic_score_gemma":0.4609164,"domain_scores_codex":[0.9999483,0.000005304435,0.000002120917,0.00002193469,0.0000110512,0.00001125721],"domain_scores_gemma":[0.999836,0.00001198759,0.00004780412,0.000007251342,0.00006758102,0.00002933463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009171466,0.00002511103,0.9324137,0.00001566519,0.00005015064,0.00006395398,0.0004199492,0.000351963,0.06224704,0.00006536966,0.00009444306,0.00416095],"study_design_scores_gemma":[5.266872e-7,0.0000110219,0.9992131,7.345977e-7,0.000003157623,0.000007404894,0.0001435069,0.000165892,0.0003996489,0.000006916657,0.00004679092,0.000001224627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996982,0.00001534517,0.00005429208,0.000009275824,2.883878e-7,0.000001209091,0.00005693598,0.000002660862,0.0001619817],"genre_scores_gemma":[0.9994729,0.00002138276,0.0001009063,0.00001326464,4.080848e-7,0.000002020475,0.00008484308,8.952561e-7,0.0003034453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2259558,"threshold_uncertainty_score":0.4492812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364882950965028,"score_gpt":0.2786807687500927,"score_spread":0.2650319392404424,"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."}}