{"id":"W3205222984","doi":"10.1016/j.scitotenv.2021.150808","title":"Sources of riverine mercury across the Mackenzie River Basin; inferences from a combined Hg C isotopes and optical properties approach","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Sveriges Lantbruksuniversitet; Svenska Forskningsrådet Formas; Aurora Research Institute","keywords":"Particulates; Environmental chemistry; Mercury (programming language); Dissolved organic carbon; Sulfate; Drainage basin; Peat; Permafrost; Environmental science; Stable isotope ratio; Hydrology (agriculture); Chemistry; Geology; Oceanography; Ecology","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":[0.0003020611,0.0004589659,0.0002674994,0.002664302,0.0009035716,0.0008391936,0.0004534705,0.0003589679,0.0004384005],"category_scores_gemma":[0.0004407922,0.0004962296,0.0003936315,0.00186791,0.0004305136,0.0003730706,0.0009458786,0.0002597594,0.0001547052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338385,"about_ca_system_score_gemma":0.0008230958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2235063,"about_ca_topic_score_gemma":0.2921487,"domain_scores_codex":[0.9998088,0.00001982376,0.0000132412,0.00009148312,0.00004346549,0.0000231587],"domain_scores_gemma":[0.999838,0.00002553987,0.00005078358,0.00001433204,0.00005001442,0.00002127828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001481689,0.00004734824,0.9598308,0.00008861376,0.0002643143,0.0002069311,0.000507717,0.001144813,0.01954222,0.0001635198,0.0001516188,0.01790393],"study_design_scores_gemma":[0.000004081851,0.00001635876,0.9969876,0.00000784712,0.00004752151,0.00003858202,0.0002034394,0.001287958,0.0007279911,0.00003602082,0.0006347246,0.000007813956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973092,0.0002393013,0.0004271519,0.00002739829,0.000001603793,0.00001201903,0.0005002699,0.00002821486,0.001454828],"genre_scores_gemma":[0.9980788,0.0001805793,0.001044553,0.00002184528,0.000004153924,0.00001732842,0.0004118667,0.000008333737,0.0002324536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7764937,"threshold_uncertainty_score":0.4444107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029483532004056,"score_gpt":0.2261282508864692,"score_spread":0.2058334155664286,"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."}}