{"id":"W2391136916","doi":"","title":"Health Risk Assessment of Metal Elements in Drinking Water in 10 Cities,Guangdong Province","year":2012,"lang":"en","type":"article","venue":"Journal of environmental health","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health risk assessment; Quarter (Canadian coin); Environmental health; Water quality; Health risk; Environmental science; Toxicology; Hazard quotient; Heavy metals; Health hazard; Risk assessment; Environmental chemistry; Geography; Chemistry; Medicine; Biology","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":[0.0005450355,0.0005358531,0.0002185511,0.0009522127,0.0004569893,0.0005341664,0.0002767422,0.0002967083,0.0007895728],"category_scores_gemma":[0.0004248157,0.0002408775,0.0005155819,0.0009881021,0.0002648452,0.0002119369,0.0005781391,0.0001609802,0.00008544716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212238,"about_ca_system_score_gemma":0.001706414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.123085,"about_ca_topic_score_gemma":0.1276163,"domain_scores_codex":[0.9996777,0.00005467478,0.00002265564,0.00007633687,0.0001103664,0.00005831362],"domain_scores_gemma":[0.999703,0.00003841996,0.0001042223,0.00001447912,0.00009826076,0.00004150358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001164245,0.00005351241,0.9839907,0.00008254049,0.00009120068,0.0002150098,0.0002924532,0.002590973,0.004052303,0.00009123983,0.0002443347,0.00817941],"study_design_scores_gemma":[0.00002000687,0.0001585669,0.9940578,0.00001088603,0.00007788574,0.00009312524,0.0005436045,0.002505318,0.001441543,0.0000941013,0.0009884216,0.00000875245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984943,0.0001611502,0.0003560465,0.00004473957,0.000001739094,0.00001905027,0.0003267458,0.00001103404,0.0005852851],"genre_scores_gemma":[0.9982287,0.0001466045,0.0004426449,0.0000187685,0.000001868841,0.00001491213,0.0004375589,0.000001693159,0.000707262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.123085,"threshold_uncertainty_score":0.2447371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961992300362035,"score_gpt":0.3097372396926873,"score_spread":0.290117316689067,"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."}}