{"id":"W2758897048","doi":"10.5539/jfr.v6n6p1","title":"Dietary Content and Potential Health Risks of Metals in Commercial Black Tea in Kampala (Uganda)","year":2017,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Heavy Metals in Plants","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hazard quotient; Cadmium; Arsenic; Camellia sinensis; Black tea; Toxicology; Mercury (programming language); Chemistry; Potassium; Food science; Environmental health; Health risk assessment; Human health; Environmental chemistry; Heavy metals; Medicine; Biology; Horticulture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002390937,0.0002518551,0.0001475066,0.0008041848,0.0006194052,0.0005241083,0.0001593588,0.0003690561,0.001143782],"category_scores_gemma":[0.0005947809,0.0003640797,0.0001509019,0.0007245751,0.0003184829,0.000294698,0.000428268,0.0002857985,0.0002122348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002710313,"about_ca_system_score_gemma":0.000145841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0024708,"about_ca_topic_score_gemma":0.005354634,"domain_scores_codex":[0.9998925,0.00004126806,0.000009491302,0.00002523417,0.00001615971,0.0000152165],"domain_scores_gemma":[0.9997851,0.00005835699,0.00008512906,0.00001298814,0.00002987402,0.00002847295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001255857,0.0005545897,0.9504432,0.0001843841,0.0001252269,0.001402771,0.00608666,0.0001594772,0.02571198,0.0001916572,0.0002037515,0.01368051],"study_design_scores_gemma":[0.00001453051,0.0007766441,0.9933176,0.00002410495,0.00005791925,0.0006666338,0.002807644,0.0002251851,0.001052564,0.0001484327,0.0008981927,0.00001051954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996394,0.0001041506,0.00002208045,0.00001506096,4.527876e-7,0.000002590323,0.00003602255,7.968077e-7,0.000179293],"genre_scores_gemma":[0.9992281,0.0001514254,0.0001138751,0.00001536126,8.650838e-7,0.00001003885,0.00004110275,0.000001073252,0.0004382272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0024708,"threshold_uncertainty_score":0.004912794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5083357073164274,"score_gpt":0.5021799633197046,"score_spread":0.006155743996722807,"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."}}