{"id":"W4413820571","doi":"10.1139/er-2025-0127","title":"Mercury in biota from Florida’s freshwater lakes and rivers: a review of current research and emerging challenges","year":2025,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biota; Mercury (programming language); Environmental science; Ecology; Current (fluid); Geography; Oceanography; Geology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009083712,0.0001490361,0.0003857728,0.00006494613,0.00008061778,0.000008013487,0.0001192828,0.00003242754,0.0006613554],"category_scores_gemma":[0.00008417566,0.0001167854,0.00004015841,0.0001353617,0.0004398237,0.0001445584,0.000402382,0.0001663086,0.0001003935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000826082,"about_ca_system_score_gemma":0.00000374371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007877839,"about_ca_topic_score_gemma":0.0002380219,"domain_scores_codex":[0.9985809,0.0002249419,0.0003948654,0.0003449202,0.000243076,0.0002112747],"domain_scores_gemma":[0.9995233,0.0001002172,0.00007986099,0.000229213,7.652324e-7,0.00006665818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001449804,0.0001629385,0.1082051,0.001732219,0.00002773194,0.000003753946,0.002432507,1.341432e-7,0.01289596,0.0001019563,0.01284403,0.8615791],"study_design_scores_gemma":[0.0002678336,0.00004583789,0.1022728,0.00570861,0.00002860193,9.996987e-7,0.0003792877,0.000008404243,0.0008174217,0.001028095,0.8892863,0.0001558807],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2710015,0.7256453,0.000005122431,0.0009825837,0.00006645013,0.0004780379,0.00001920284,0.000003739622,0.001798084],"genre_scores_gemma":[0.09194198,0.9074706,0.000192084,0.0001501104,0.00001452992,0.00004935028,0.00001122875,0.000005488158,0.0001645711],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8764423,"threshold_uncertainty_score":0.7241377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0871108578627823,"score_gpt":0.3648180806273937,"score_spread":0.2777072227646115,"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."}}