{"id":"W2137072275","doi":"10.1007/s10533-010-9543-1","title":"Mercury–organic matter relationships in pre-pollution sediments of thermokarst lakes from the Mackenzie River Delta, Canada: the role of depositional environment","year":2010,"lang":"en","type":"article","venue":"Biogeochemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Museum of Nature; Geological Survey of Canada","funders":"","keywords":"Sedimentary depositional environment; Algae; Organic matter; Total organic carbon; Environmental science; Delta; Environmental chemistry; Macrophyte; Sediment; Aquatic ecosystem; Mercury (programming language); Pollution; Biogenic silica; Geology; Ecology; Oceanography; Chemistry; Structural basin; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000125569,0.0003196165,0.0002552582,0.0009973937,0.002140596,0.00103901,0.0004052063,0.0003209696,0.001019106],"category_scores_gemma":[0.000274463,0.0003109871,0.0002114879,0.001164239,0.000703453,0.0003255482,0.0005137569,0.0002756707,0.0001662321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007189672,"about_ca_system_score_gemma":0.005484606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9498058,"about_ca_topic_score_gemma":0.9821499,"domain_scores_codex":[0.9998738,0.000004807528,0.000008070529,0.00002901335,0.00003494569,0.00004942295],"domain_scores_gemma":[0.9997869,0.00001352254,0.00002893855,0.000004848123,0.0001223106,0.00004354278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007272899,0.00006901196,0.9294267,0.0001130988,0.0002126706,0.0003638135,0.004096895,0.0006601075,0.05381296,0.0002422345,0.0004245185,0.009850734],"study_design_scores_gemma":[0.000004185324,0.0000135576,0.9973418,0.00000491929,0.00002091287,0.00003374071,0.0007612089,0.0001587354,0.001196706,0.00001471595,0.000443943,0.000005511508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991181,0.0001267347,0.00002947787,0.00001683367,0.000001071526,0.000003156583,0.0002323785,0.000003201745,0.0004689245],"genre_scores_gemma":[0.9983176,0.0001325207,0.0001028945,0.00001847616,0.000001034582,0.000003102458,0.0003315349,0.000003684238,0.001089171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0501942,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006966299709466967,"score_gpt":0.1906340271193373,"score_spread":0.1836677274098703,"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."}}