{"id":"W1978470947","doi":"10.1007/s13157-013-0447-4","title":"Seasonal Mercury Dynamics in a New England Vernal Pool","year":2013,"lang":"en","type":"article","venue":"Wetlands","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; University of Connecticut","keywords":"Bioaccumulation; Mercury (programming language); Plant litter; Benthic zone; Methylmercury; Environmental chemistry; Biogeochemical cycle; Environmental science; Wetland; Ecology; Chemistry; Ecosystem; Biology","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":[0.0001184764,0.00009107469,0.0001974527,0.0003194959,0.000881156,0.0004725622,0.0003054471,0.0002206236,0.0009502975],"category_scores_gemma":[0.0002508314,0.0001562676,0.0001205771,0.0004216368,0.0005939906,0.0004296266,0.0005360857,0.0001738684,0.0001394342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688868,"about_ca_system_score_gemma":0.001001763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4207632,"about_ca_topic_score_gemma":0.7155814,"domain_scores_codex":[0.9999335,0.000008108234,0.000003171185,0.00002357623,0.00001440225,0.00001720375],"domain_scores_gemma":[0.9997841,0.00003165702,0.00004605833,0.00001673559,0.00006367559,0.00005793428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007482843,0.0002278589,0.93419,0.00005199817,0.00009213237,0.001273542,0.009728543,0.001071839,0.04127533,0.0002031462,0.000655399,0.01048189],"study_design_scores_gemma":[0.00000711241,0.00004247364,0.9971181,0.00000215729,0.00001118977,0.00003885598,0.001227042,0.0004309863,0.0004385495,0.00001568815,0.0006634141,0.000004515282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996192,0.000009922651,0.00001420659,0.00001217515,6.651238e-7,0.000001837438,0.00005113838,0.000001349036,0.0002894494],"genre_scores_gemma":[0.9989396,0.00001989737,0.00007084392,0.000008865195,0.000001325112,0.000005376777,0.00007679987,0.000001526477,0.0008757234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4207632,"threshold_uncertainty_score":0.8366282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000689491069377,"score_gpt":0.2307693941475029,"score_spread":0.2207624992368092,"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."}}