{"id":"W2001005499","doi":"10.5539/ep.v2n4p110","title":"Evaluation of Status of Heavy Metals Pollution of Sediments in Qua-Iboe River Estuary and Associated Creeks, South-Eastern Nigeria","year":2013,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sediment; Estuary; Pollution; Contamination; Enrichment factor; Environmental science; Environmental chemistry; Total organic carbon; Hydrology (agriculture); Environmental engineering; Heavy metals; Geology; Oceanography; Chemistry; Ecology; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001622507,0.0001961888,0.0003489019,0.0001000753,0.00004528857,0.00000578234,0.00008398836,0.0001355543,0.001305502],"category_scores_gemma":[0.00008660591,0.0001913208,0.00005383684,0.0001244567,0.0005671728,0.0003323458,0.0001745337,0.00009211493,0.00004839005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004225101,"about_ca_system_score_gemma":0.00001469017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146415,"about_ca_topic_score_gemma":0.0000433973,"domain_scores_codex":[0.9971659,0.000521626,0.0006237265,0.0003342952,0.001028279,0.0003261851],"domain_scores_gemma":[0.9991637,0.000030693,0.000435186,0.0002450925,0.00000718261,0.0001181808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007118523,0.000616573,0.746386,0.00002955965,0.0001180076,4.61086e-7,0.004353147,0.01243298,0.2039308,0.00001764763,0.000069854,0.03197375],"study_design_scores_gemma":[0.001274618,0.0002120586,0.9769185,0.00003375245,0.0001234833,6.338e-7,0.0003383206,0.006534825,0.01388856,0.0004042021,0.0001097382,0.0001612622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976869,0.0007185932,0.0002675809,0.00007437032,0.00005898349,0.0007423258,0.0000480159,0.000005724781,0.0003975615],"genre_scores_gemma":[0.9988555,0.0003916423,0.0005360242,0.00002912692,0.000009185899,0.00003740037,0.00002226823,0.00001411772,0.0001047117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2305325,"threshold_uncertainty_score":0.9996074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127044698879661,"score_gpt":0.2468231182303715,"score_spread":0.2255526712415749,"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."}}