{"id":"W2047926679","doi":"10.3390/ijerph110302437","title":"The Influence of Changes in Lifestyle and Mercury Exposure in Riverine Populations of the Madeira River (Amazon Basin) near a Hydroelectric Project","year":2014,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Fundação Oswaldo Cruz","keywords":"Amazon basin; Amazon rainforest; Mercury (programming language); Hydroelectricity; Structural basin; Environmental science; Drainage basin; MERCURY EXPOSURE; Geography; Environmental protection; Water resource management; Hydrology (agriculture); Geology; Ecology; Cartography; Biology; Geomorphology; Biomonitoring","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001968645,0.0001636077,0.0001562972,0.0003977536,0.0004700054,0.0004490095,0.0002877588,0.0001660842,0.0005744896],"category_scores_gemma":[0.0009742935,0.0002097923,0.0001719687,0.0005087684,0.0004681885,0.00017098,0.0004784908,0.0002050548,0.00005396516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517921,"about_ca_system_score_gemma":0.0002935141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03841761,"about_ca_topic_score_gemma":0.096481,"domain_scores_codex":[0.9997718,0.0000814212,0.000009882873,0.00005826012,0.00003753365,0.00004115493],"domain_scores_gemma":[0.9996468,0.0000610778,0.0001585746,0.00002688922,0.00004181247,0.00006484218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008782684,0.00006599183,0.9885221,0.00002229185,0.00006192917,0.0001672946,0.00291798,0.00004647181,0.003682683,0.00005188608,0.00004879325,0.004324839],"study_design_scores_gemma":[0.000001042192,0.00002811115,0.9992024,0.000002035018,0.000005710485,0.0000394276,0.000561856,0.00002861256,0.00005431941,0.00000853724,0.00006675682,0.000001163326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997476,0.00002054664,0.00002162796,0.000009013452,4.893712e-7,0.000002833569,0.00002530492,6.549266e-7,0.000171937],"genre_scores_gemma":[0.9997442,0.00002612501,0.00004579934,0.000005493126,0.000001050431,0.000004491233,0.00003897084,6.958236e-7,0.0001331515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03841761,"threshold_uncertainty_score":0.076388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04635789753074129,"score_gpt":0.3488488275590123,"score_spread":0.302490930028271,"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."}}