{"id":"W2883155933","doi":"10.1007/s12665-018-7732-8","title":"Health risk assessment of nitrate exposure in groundwater of rural areas of Gonabad and Bajestan, Iran","year":2018,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Gonabad University of Medical Sciences; Hospital for Sick Children; U.S. Environmental Protection Agency","keywords":"Nitrate; Environmental health; Hazard quotient; Groundwater; Health risk assessment; Environmental science; Human health; Toxicology; Water resource management; Medicine; Biology; Ecology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003881749,0.0002306839,0.0002178215,0.000598957,0.0003579676,0.0004102495,0.0003017549,0.0003244516,0.000458841],"category_scores_gemma":[0.0005087795,0.0001104257,0.0003548191,0.0006448728,0.0001958989,0.0001630805,0.0003535828,0.0001728743,0.00003962219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007854597,"about_ca_system_score_gemma":0.001195351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04397997,"about_ca_topic_score_gemma":0.0561781,"domain_scores_codex":[0.9997562,0.00008129284,0.00001568746,0.00003429818,0.00006215386,0.00005033997],"domain_scores_gemma":[0.9997899,0.00004492271,0.00006531349,0.00000627033,0.00007193067,0.00002158278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001956847,0.0001507505,0.9897828,0.00003941925,0.00008869409,0.0003544466,0.0006218757,0.0009360694,0.001337251,0.0001551938,0.0001612485,0.006176424],"study_design_scores_gemma":[0.00001882872,0.0006676926,0.9894414,0.00002107313,0.0001744897,0.0004206916,0.004150274,0.00304592,0.0006895359,0.0005147161,0.000844934,0.00001041476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993159,0.00008538581,0.0001066069,0.00008088137,0.000001987137,0.000007705997,0.000114988,0.00000155577,0.0002851198],"genre_scores_gemma":[0.9996031,0.00007100187,0.0001096437,0.00001257209,0.000001821741,0.000003921587,0.00006517021,2.384947e-7,0.000132576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04397997,"threshold_uncertainty_score":0.08744794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009574899466585605,"score_gpt":0.2206283820931895,"score_spread":0.2110534826266039,"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."}}