{"id":"W4413139664","doi":"10.1007/s10661-025-14451-2","title":"Spatiotemporal distributions and potential sources of sediment and waterborne heavy metals in lowland lakes and rivers of the Ecuadorian Amazon","year":2025,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Ontario Museum; University of Toronto","funders":"World Wildlife Fund; Universidad de Las Américas Ecuador","keywords":"Amazon rainforest; Sediment; Environmental science; Environmental chemistry; Aquatic ecosystem; Organic matter; Ecosystem; Weathering; Pollution; Floodplain; Contamination; Hydrology (agriculture); Ecology; Geology; Chemistry; Geochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000264049,0.0001505723,0.0001592974,0.0006768123,0.0002705633,0.0006853793,0.0002980181,0.0001725151,0.0007571941],"category_scores_gemma":[0.001001947,0.0001268455,0.0001189876,0.001070837,0.0002860691,0.0004308149,0.0004887583,0.0001345751,0.0000544462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005834684,"about_ca_system_score_gemma":0.0002111688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07344071,"about_ca_topic_score_gemma":0.09072319,"domain_scores_codex":[0.9998605,0.00003233863,0.00001642436,0.00004111111,0.00001274523,0.00003683848],"domain_scores_gemma":[0.9994511,0.0001063307,0.000280168,0.00002739122,0.00009340388,0.00004155324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001068062,0.00002640436,0.9906384,0.00002308936,0.00004463146,0.0001982154,0.002280732,0.0001039954,0.001794207,0.00007199482,0.00006444847,0.00464713],"study_design_scores_gemma":[0.000001871601,0.000009829239,0.9981521,0.000004139632,0.00001071217,0.00004022124,0.001404993,0.0001262885,0.00007554361,0.00001355781,0.0001587047,0.000001910241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996787,0.00007531275,0.000027283,0.00001739502,3.862666e-7,0.000001495351,0.0000628359,0.000001414412,0.0001352468],"genre_scores_gemma":[0.9997064,0.00005223233,0.00004794393,0.00000458103,8.282127e-7,0.000004020307,0.0000604317,7.990026e-7,0.0001227945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07344071,"threshold_uncertainty_score":0.1460264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005599450877936951,"score_gpt":0.2371347891454232,"score_spread":0.2315353382674862,"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."}}