{"id":"W2944335686","doi":"10.1016/j.scitotenv.2019.05.072","title":"Impacts of experimental alteration of water table regime and vascular plant community composition on peat mercury profiles and methylmercury production","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Northern Research Station; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Peat; Methylmercury; Water table; Environmental chemistry; Chemistry; Mercury (programming language); Mesocosm; Environmental science; Hydrology (agriculture); Bioaccumulation; Ecology; Nutrient; Groundwater; Geology; 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":[0.0003873906,0.0006172103,0.0006367754,0.0004162418,0.0006980154,0.0009332996,0.0008453509,0.0008042104,0.003778467],"category_scores_gemma":[0.0008994828,0.0005222044,0.0004980766,0.0003514983,0.001793548,0.0008127654,0.0009156282,0.001281271,0.0002714423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748496,"about_ca_system_score_gemma":0.001593806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031348,"about_ca_topic_score_gemma":0.01444397,"domain_scores_codex":[0.999328,0.0001132318,0.00006410108,0.0002082148,0.0000732292,0.0002132609],"domain_scores_gemma":[0.9986198,0.0004641531,0.000202892,0.0001858948,0.000105884,0.0004214864],"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":[0.0416656,0.003878183,0.007701591,0.00007986165,0.0001389327,0.0002039125,0.0005579117,0.0007546666,0.9415947,0.0003055291,0.0001075657,0.003011508],"study_design_scores_gemma":[0.001132264,0.0210903,0.1303853,0.00001928997,0.0004402401,0.000305067,0.001465235,0.007579382,0.8344175,0.0007059453,0.002323473,0.000135997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993902,0.00002327407,0.000171179,0.00002504253,0.00001644705,0.00001897744,0.0001130269,0.00001041336,0.0002313654],"genre_scores_gemma":[0.9972159,0.00004718107,0.0005155188,0.00006203863,0.00001203447,0.00006921484,0.0002025832,0.00003082667,0.001844786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031348,"threshold_uncertainty_score":0.02050692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351025287389046,"score_gpt":0.2290831966349642,"score_spread":0.2155729437610737,"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."}}