{"id":"W1996175159","doi":"10.1016/j.ecolind.2013.04.017","title":"Red-backed salamander (Plethodon cinereus) as a bioindicator of mercury in terrestrial forests of the northeastern United States","year":2013,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Edna Bailey Sussman Foundation; New York State Department of Environmental Conservation; U.S. Environmental Protection Agency","keywords":"Biomonitoring; Mercury (programming language); Bioindicator; Bioaccumulation; Methylmercury; Ecology; Environmental science; Environmental chemistry; Terrestrial ecosystem; Forest floor; Fauna; Ecosystem; Biology; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002945061,0.0001339608,0.0001237082,0.0007402502,0.0003763093,0.0002457523,0.0002359814,0.0001458368,0.0002742323],"category_scores_gemma":[0.0003049413,0.00008402232,0.00007464708,0.0005624989,0.0003088786,0.0002653125,0.0003575411,0.0001613743,0.00003575397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005096819,"about_ca_system_score_gemma":0.0003082801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07223964,"about_ca_topic_score_gemma":0.3271667,"domain_scores_codex":[0.9998887,0.00003624469,0.000006266048,0.00002759208,0.00002388854,0.0000172964],"domain_scores_gemma":[0.9997024,0.00003729356,0.0001366737,0.00001350756,0.00005931128,0.00005068631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005111484,0.00003243324,0.9912294,0.000009451247,0.00003259827,0.0000497714,0.0002550157,0.0000669441,0.004410586,0.00002822722,0.00004663767,0.00378785],"study_design_scores_gemma":[9.874759e-7,0.00003767366,0.9988181,0.000002345221,0.00001484263,0.00003767844,0.0003872889,0.0001736961,0.0004010503,0.00001502317,0.0001100941,0.000001087886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996865,0.00005705441,0.00003407849,0.0000112947,6.907917e-7,0.000001142698,0.00003246924,0.000001120257,0.000175625],"genre_scores_gemma":[0.9996172,0.00006982965,0.0001261775,0.00001940307,8.297278e-7,0.000001591233,0.00005806748,4.146457e-7,0.0001063583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07223964,"threshold_uncertainty_score":0.1436383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883688102940396,"score_gpt":0.2665505166532404,"score_spread":0.2477136356238364,"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."}}