{"id":"W2326561635","doi":"10.9790/2402-081235357","title":"Pollution Status of Metals in Sediments from Ikere, Iseyin, Opeki, Ofiki and Igangan Sections of the Ogun River Basin","year":2014,"lang":"en","type":"article","venue":"IOSR Journal of Environmental Science Toxicology and Food Technology","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ogun state; Pollution; Environmental science; Heavy metals; Sediment; Drainage basin; Structural basin; Geology; Environmental chemistry; Hydrology (agriculture); Geochemistry; Geography; Archaeology; Geomorphology; Chemistry; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009690587,0.0004011453,0.0003808663,0.001161347,0.0007671093,0.0005564921,0.0002127713,0.0003354777,0.0005537357],"category_scores_gemma":[0.0001181701,0.0003205363,0.0002022916,0.001480273,0.0004179805,0.0002615427,0.0004329844,0.0002109452,0.0001108494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005632229,"about_ca_system_score_gemma":0.0005216069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03086308,"about_ca_topic_score_gemma":0.08819555,"domain_scores_codex":[0.9998726,0.00000668433,0.00002438323,0.00003802971,0.00003124812,0.00002705819],"domain_scores_gemma":[0.9999187,0.000006765854,0.00003651526,0.000003336359,0.00002017033,0.00001454086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003432671,0.0001258416,0.887333,0.0003815121,0.00008872939,0.002372273,0.004831821,0.0005181637,0.08847255,0.0001312118,0.0001769203,0.01522453],"study_design_scores_gemma":[0.000003885736,0.00006217706,0.9947871,0.00001695096,0.0000258153,0.0002420591,0.001605967,0.00008306518,0.002179657,0.00002500163,0.0009615258,0.0000068356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989228,0.0001462615,0.00005554796,0.000006882535,0.000002660232,0.0000077697,0.000184692,0.000002100234,0.0006714289],"genre_scores_gemma":[0.9968924,0.0003481208,0.0004782555,0.00001976044,0.000003323893,0.00002894224,0.000622899,0.000002519898,0.001603826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03086308,"threshold_uncertainty_score":0.06136686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009722427396749,"score_gpt":0.235259614811175,"score_spread":0.2251623905372075,"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."}}