{"id":"W2121597259","doi":"10.18172/cig.1126","title":"Heavy metals and As transport under low and high flows in the River Guadiamar three years after the Aznalcóllar tailings dam failure : implications for river recovery and management","year":2013,"lang":"en","type":"article","venue":"Cuadernos de Investigación Geográfica","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Environment Research Council","keywords":"Tailings; Overbank; Environmental science; Hydrology (agriculture); Alluvium; Sediment; Environmental remediation; Contamination; Tailings dam; Surface water; Dam removal; Mining engineering; Environmental engineering; Geology; Fluvial; Geotechnical engineering","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":[0.0003157878,0.0002546714,0.000320805,0.0006317677,0.0008867296,0.0007148822,0.0003198329,0.0004848179,0.0005254523],"category_scores_gemma":[0.0006004442,0.0001715799,0.0002652225,0.0007867909,0.0007313099,0.0004859774,0.0006366531,0.0004962797,0.0001097256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915271,"about_ca_system_score_gemma":0.001017858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1373658,"about_ca_topic_score_gemma":0.1975781,"domain_scores_codex":[0.9997447,0.00003930064,0.00001242603,0.0000712289,0.00004880057,0.00008357345],"domain_scores_gemma":[0.9996973,0.00003441812,0.0001367686,0.00001531319,0.00006645696,0.000049684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000760993,0.0002104116,0.9451399,0.00007491458,0.00008464158,0.002048575,0.008579455,0.0006333162,0.02999301,0.0001002027,0.0002253916,0.0121493],"study_design_scores_gemma":[0.000003729336,0.0001633768,0.9967873,0.000003154725,0.00001380906,0.0000880275,0.0017542,0.0001212855,0.0006553471,0.00001498316,0.0003872965,0.000007514559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997426,0.00002850195,0.00001643776,0.00002423002,8.996321e-7,0.000001878069,0.00004049005,0.000001913091,0.000143048],"genre_scores_gemma":[0.9990591,0.00006163094,0.00009281035,0.00002136253,0.000002640907,0.000007942614,0.0001843589,0.000001708109,0.0005684822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1373658,"threshold_uncertainty_score":0.2731324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086765018642834,"score_gpt":0.2144011563042533,"score_spread":0.203533506117825,"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."}}