{"id":"W2964970392","doi":"10.1007/s00769-019-01397-5","title":"Non-carcinogenic health risk assessment of nitrate in bottled drinking waters sold in Iranian markets: A Monte Carlo simulation","year":2019,"lang":"en","type":"article","venue":"Accreditation and Quality Assurance","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Hospital for Sick Children","keywords":"Hazard quotient; Nitrate; Bottled water; Health risk assessment; Health risk; Toxicology; Environmental health; Risk assessment; Environmental science; Human health; Environmental chemistry; Chemistry; Medicine; Environmental engineering; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001038489,0.0001109854,0.0002175059,0.00007541169,0.00004725057,0.00002368395,0.00005174744,0.00004981536,0.0000506414],"category_scores_gemma":[0.00002496479,0.0001038914,0.00003578184,0.0002206778,0.00003195468,0.0004781701,0.00002487353,0.00009589535,0.00001334174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002262374,"about_ca_system_score_gemma":0.00002058583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006280244,"about_ca_topic_score_gemma":0.004273937,"domain_scores_codex":[0.9986359,0.0002711011,0.0004207228,0.0002655698,0.000223066,0.0001835722],"domain_scores_gemma":[0.999427,0.0001465223,0.0002367058,0.0001360843,0.00001073919,0.00004300389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005677047,0.00007092077,0.9401097,0.00003930833,0.0000057962,4.671589e-7,0.001920437,0.05550373,0.001119366,0.000008075387,0.000008702969,0.001156747],"study_design_scores_gemma":[0.001483728,0.0000687721,0.9442555,0.00005087039,0.000004237735,1.839557e-7,0.0002894822,0.05345475,0.0001511718,0.0001238626,0.00001728912,0.0001001267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982958,0.00002096619,0.0003940488,0.0001914588,0.0001087775,0.0004444179,0.000007819524,0.00001238772,0.0005243482],"genre_scores_gemma":[0.9993323,0.00005155207,0.0004496794,0.00006681315,0.00001023382,0.00001611934,0.00001464486,0.000006901744,0.00005177366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004145848,"threshold_uncertainty_score":0.9493893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177469213794428,"score_gpt":0.3059776679947836,"score_spread":0.2882307466153408,"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."}}