{"id":"W2170085080","doi":"10.5539/jsd.v5n11p93","title":"Assessment of Heavy Metals in Waste-Water Irrigated Lettuce in Ghana: The Case of Tamale Municipality","year":2012,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Irrigation; Wastewater; Heavy metals; Nutrient; Environmental science; Soil water; Environmental chemistry; Chemistry; Agronomy; Toxicology; Environmental engineering; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.008206764,0.0002047084,0.0005442183,0.0002119486,0.00007892789,0.00001161221,0.0004129001,0.00008573691,0.0006668424],"category_scores_gemma":[0.0001157742,0.000128062,0.00009597185,0.0004499574,0.000245358,0.0005104905,0.0005161776,0.0003745695,0.000008070242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693138,"about_ca_system_score_gemma":0.0001298598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336337,"about_ca_topic_score_gemma":0.0001863674,"domain_scores_codex":[0.996422,0.0004966158,0.001535871,0.0001673814,0.0006417643,0.0007363884],"domain_scores_gemma":[0.9987814,0.0001321832,0.0005461088,0.0003408258,0.00004127427,0.000158185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000282943,0.006035211,0.8201075,0.0006343205,0.0004279676,0.00682854,0.05239547,0.06768645,0.03912448,0.001499041,0.000352526,0.004625538],"study_design_scores_gemma":[0.001525845,0.0001775811,0.7362275,0.0001117091,0.00006478158,0.000558554,0.06501114,0.0003382422,0.1914152,0.0002324025,0.003984421,0.0003526495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975987,0.0002293779,0.0001478171,0.0002520346,0.00009833329,0.0004146023,9.515994e-7,0.000002026187,0.001256165],"genre_scores_gemma":[0.993671,0.00002210969,0.005811349,0.00006986901,0.00001813564,0.00002290327,0.000001023635,0.00001557835,0.0003680464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1522907,"threshold_uncertainty_score":0.7301458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820467982680033,"score_gpt":0.2767491486306919,"score_spread":0.2585444688038915,"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."}}