{"id":"W2900590230","doi":"10.1080/10807039.2018.1536520","title":"Water quality and Human Health Risk Assessment: a case study of the Czarna Przemsza River source in Zawiercie, Poland","year":2018,"lang":"en","type":"article","venue":"Human and Ecological Risk Assessment An International Journal","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Water quality; Environmental science; Health risk; Human health; Risk assessment; Health risk assessment; Environmental chemistry; Toxicology; Environmental health; Potable water; Environmental engineering; 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":[0.0007797594,0.0003950016,0.0005415495,0.001420921,0.001040545,0.001328938,0.0006776507,0.001056705,0.0008267305],"category_scores_gemma":[0.0008125314,0.0003140778,0.000651592,0.002307656,0.000668806,0.0005541389,0.001108972,0.0003984943,0.0001251662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002104917,"about_ca_system_score_gemma":0.001441581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07995146,"about_ca_topic_score_gemma":0.1051089,"domain_scores_codex":[0.9993287,0.0001905097,0.00004285403,0.0001237296,0.0001910767,0.0001231248],"domain_scores_gemma":[0.9995973,0.00009681148,0.0001061703,0.00004443272,0.0001185354,0.00003678126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007405119,0.001110155,0.7975803,0.001081909,0.0004708859,0.06230517,0.01524531,0.02342412,0.01895162,0.002644522,0.002073645,0.07437183],"study_design_scores_gemma":[0.00009373555,0.001554444,0.8810346,0.0002565102,0.0004506673,0.01098216,0.04940863,0.02744062,0.01188268,0.001881391,0.01486125,0.0001533167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969343,0.0002057862,0.00110828,0.0001179032,0.000002211173,0.00009224126,0.0002034347,0.000011309,0.001324552],"genre_scores_gemma":[0.9971834,0.000403901,0.001238235,0.0000294669,0.000002671047,0.00002997247,0.0001208068,0.000005020982,0.0009865419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07995146,"threshold_uncertainty_score":0.1589722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05204190813022938,"score_gpt":0.4060640681759944,"score_spread":0.354022160045765,"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."}}