{"id":"W2004762391","doi":"10.1073/pnas.0900517106","title":"Over three millennia of mercury pollution in the Peruvian Andes","year":2009,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Institut National Du Cancer; National Geographic Society; Geological Society of America","keywords":"Cinnabar; Mercury (programming language); Smelting; Pollution; Environmental science; Sediment; Environmental chemistry; Geology; Chemistry; Mineralogy; Ecology; Geomorphology","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":[0.000217235,0.0001972964,0.0001574831,0.0009371932,0.0007197655,0.0006941811,0.0002409712,0.0003944113,0.001160258],"category_scores_gemma":[0.000776128,0.0001293777,0.0001716653,0.001317883,0.0004750399,0.0005341684,0.001376148,0.000308002,0.0001479964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006493717,"about_ca_system_score_gemma":0.0003966457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02870992,"about_ca_topic_score_gemma":0.05883833,"domain_scores_codex":[0.9998964,0.00001749636,0.000005619336,0.00003351022,0.00001966589,0.00002726982],"domain_scores_gemma":[0.9996921,0.0000273446,0.0001530816,0.00002332399,0.00007516851,0.00002888956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001146051,0.00002415059,0.9448501,0.0001514201,0.000211289,0.0009039519,0.007823465,0.0001962161,0.007349304,0.0003276613,0.0004796507,0.03756822],"study_design_scores_gemma":[0.000001051537,0.00001725512,0.9961733,0.0000162604,0.00002162302,0.0001283994,0.0009082655,0.00002720644,0.0001831502,0.00006083795,0.002458557,0.000004173386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99336,0.002312516,0.0001938961,0.0003340269,0.000006628739,0.000008425635,0.0005706847,0.00002268669,0.003191148],"genre_scores_gemma":[0.9962608,0.001799223,0.0002723237,0.00008925331,0.00001377557,0.00001348125,0.0006734592,0.000005140853,0.0008724398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02870992,"threshold_uncertainty_score":0.05708563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03877478325107581,"score_gpt":0.3066777282362385,"score_spread":0.2679029449851626,"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."}}