{"id":"W2578542882","doi":"","title":"The Impact of Using Polluted Benue River and Shinko Waters on Irrigated Vegetables at Geriyo, Nigeria","year":2015,"lang":"en","type":"dissertation","venue":"Unimas Institutional Repository (Universiti Malaysia Sarawak)","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Irrigation; Soil water; Pollution; Pollutant; Water quality; Food chain; Agriculture; Water scarcity; Environmental engineering; Hydrology (agriculture); Water resource management; Agronomy; Geography; Soil science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002097153,0.0002739862,0.0002278106,0.0003472594,0.0009774864,0.0006862283,0.0001995279,0.0004098841,0.001055806],"category_scores_gemma":[0.0003288011,0.0001889442,0.0001969753,0.0004506606,0.0006449257,0.0003844372,0.0008897336,0.0002350332,0.00009375985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006699453,"about_ca_system_score_gemma":0.0008409375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01613693,"about_ca_topic_score_gemma":0.06024543,"domain_scores_codex":[0.9998522,0.00004339604,0.000009952318,0.00002687649,0.0000231979,0.00004443782],"domain_scores_gemma":[0.9998165,0.00005031277,0.00005619533,0.000009168913,0.00003215353,0.00003580744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002822644,0.000250202,0.9226574,0.0004362214,0.00006746378,0.01027836,0.01547035,0.000788465,0.0264775,0.0006993772,0.0003462894,0.0222462],"study_design_scores_gemma":[0.000007931393,0.0004095886,0.9391888,0.0001115336,0.0000459575,0.001276195,0.05233325,0.0005312672,0.002940729,0.0003475228,0.002786584,0.00002068009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992552,0.00008756899,0.00004348515,0.00004336252,0.000002562155,0.000005458925,0.00002927789,0.000001340986,0.0005316532],"genre_scores_gemma":[0.9989157,0.0002398208,0.0001409869,0.00002010635,0.000001549333,0.000007033971,0.00003357973,0.000001301548,0.0006399421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01613693,"threshold_uncertainty_score":0.03208601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634990816755496,"score_gpt":0.267332453995381,"score_spread":0.2509825458278261,"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."}}