{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004543403,0.0002282991,0.0005679927,0.0001695392,0.0001217591,0.000009237151,0.0002505646,0.00007824351,0.002258016],"category_scores_gemma":[0.00001304338,0.0001886067,0.0001287396,0.0001183059,0.0002117983,0.0008562502,0.0002339154,0.0005332862,0.00006567956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003533495,"about_ca_system_score_gemma":0.00005642337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043794,"about_ca_topic_score_gemma":0.00086995,"domain_scores_codex":[0.995733,0.0007474469,0.001643109,0.0002226751,0.0008461279,0.0008076031],"domain_scores_gemma":[0.9982626,0.00006889494,0.001139065,0.0002141391,0.000001057466,0.0003141984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005477151,0.00121242,0.978285,0.00004765292,0.00001586655,0.000005318018,0.002099397,0.0009378801,0.003092226,0.00003117794,0.0001178835,0.01410038],"study_design_scores_gemma":[0.001224694,0.0007131442,0.9917894,0.0001063719,0.000009027991,0.00003212975,0.000874701,0.0001420671,0.001153122,0.0001186339,0.003659281,0.0001774239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972869,0.0005653027,0.0001920341,0.0008082214,0.0001843767,0.000396924,0.00003662684,0.000003790131,0.0005258308],"genre_scores_gemma":[0.994948,0.0009544734,0.003258179,0.0005896644,0.00006339278,0.000005839566,0.0000159932,0.00002166557,0.0001427672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01392296,"threshold_uncertainty_score":0.9986541,"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."}}