{"id":"W4387451100","doi":"10.1021/acs.estlett.3c00427","title":"Glacial Erosion Drives High Summer Mercury Exports from the Yukon River, Canada","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Alberta; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Mercury (programming language); Tributary; Permafrost; Meltwater; Glacial period; Hydrology (agriculture); Glacier; Environmental science; Sediment; Drainage basin; STREAMS; Erosion; Geology; Physical geography; Oceanography; Geomorphology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007726855,0.0001724475,0.0001693452,0.0004358544,0.001444231,0.001080919,0.0002748799,0.0002048357,0.001160703],"category_scores_gemma":[0.0002768639,0.0001753837,0.0001684758,0.001066169,0.0003490684,0.000262497,0.0004881067,0.0002392738,0.0001163184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006564859,"about_ca_system_score_gemma":0.007327972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9378073,"about_ca_topic_score_gemma":0.9742063,"domain_scores_codex":[0.9998964,0.000003626608,0.000005480032,0.00002830857,0.00002823028,0.0000379343],"domain_scores_gemma":[0.9997836,0.00001139627,0.00003384022,0.000006901394,0.0001257311,0.0000385212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007982009,0.00003277475,0.9690424,0.0000421519,0.00006080929,0.0003260703,0.0008725381,0.0008922269,0.01841379,0.0003445577,0.001527874,0.008365158],"study_design_scores_gemma":[0.000002639838,0.000005667878,0.9963631,0.000005916372,0.00001243925,0.00003682355,0.001211711,0.0005896433,0.0006922626,0.00005086158,0.001023511,0.000005508422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974791,0.00009329306,0.00007028442,0.0001304616,0.0000026431,0.00000429562,0.0005250048,0.00001330525,0.001681549],"genre_scores_gemma":[0.9974963,0.0001952967,0.000132285,0.00006293716,0.000001448993,0.000002956611,0.0005843389,0.000008527541,0.001515865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06219274,"threshold_uncertainty_score":0.125118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007712958299187367,"score_gpt":0.2073312541848363,"score_spread":0.1996182958856489,"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."}}