{"id":"W2945493332","doi":"10.1155/2019/6734017","title":"Assessment of Levels, Speciation, and Toxicity of Trace Metal Contaminants in Selected Shallow Groundwater Sources, Surface Runoff, Wastewater, and Surface Water from Designated Streams in Lake Victoria Basin, Uganda","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental and Public Health","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kungliga Tekniska Högskolan; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Surface water; Environmental chemistry; Groundwater; Leachate; Genetic algorithm; Dissolved organic carbon; Environmental science; Trace metal; Surface runoff; Wastewater; Contamination; Chemistry; Hydrology (agriculture); Metal; Environmental engineering; Geology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001720157,0.0001983795,0.0005759727,0.00007840841,0.00005327663,0.00003719086,0.0001181548,0.000105279,0.00113717],"category_scores_gemma":[0.000007577882,0.0001441991,0.00003663861,0.0001127762,0.000160481,0.0005617072,0.000122246,0.0002438983,0.000002920385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003067076,"about_ca_system_score_gemma":0.00005710269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001733668,"about_ca_topic_score_gemma":0.001871758,"domain_scores_codex":[0.9974062,0.0005571938,0.0009456698,0.0002697615,0.000461854,0.0003592494],"domain_scores_gemma":[0.9991091,0.0000919208,0.0004516904,0.0001152309,0.000009572057,0.0002225052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004880151,0.0004967794,0.8130606,0.00003733502,0.00003283702,0.00000376872,0.0025853,0.0001958169,0.1828853,0.000005907545,0.000009031084,0.000638506],"study_design_scores_gemma":[0.002203523,0.0005451976,0.9795257,0.00005374925,0.00001050618,0.00001674489,0.0007791136,0.0003785797,0.01557145,0.00004743684,0.0007175504,0.0001503843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983645,0.0001991794,0.00005472998,0.000821896,0.00009207369,0.0002770321,0.0001589549,0.000002709588,0.00002891245],"genre_scores_gemma":[0.9984564,0.000405607,0.0009094306,0.00007762163,0.00001430227,7.189187e-7,0.00002657401,0.00001106154,0.00009832585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1673139,"threshold_uncertainty_score":0.9997759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066052343261187,"score_gpt":0.2497513959676664,"score_spread":0.2290908725350546,"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."}}