{"id":"W4390590344","doi":"10.1007/s42729-023-01606-8","title":"Human Health Risks from Consuming Vegetables Grown in Anomalously High-Arsenic Soils","year":2024,"lang":"en","type":"article","venue":"Journal of soil science and plant nutrition","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Universidad de Tarapacá","keywords":"Arsenic; Ingestion; Soil water; Environmental health; Toxicology; Crop; Human health; Risk assessment; Arsenic contamination of groundwater; Environmental science; Environmental protection; Agronomy; Biology; Medicine; Ecology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002143962,0.0002276143,0.0001281116,0.0002823774,0.0003887721,0.0004004322,0.000147587,0.0005593221,0.002584965],"category_scores_gemma":[0.0004647904,0.0001971897,0.0002076125,0.0002254639,0.0002250131,0.0001758135,0.0003069786,0.0003428191,0.0002119599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002707885,"about_ca_system_score_gemma":0.0002864608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006237941,"about_ca_topic_score_gemma":0.008335683,"domain_scores_codex":[0.9998454,0.0000642338,0.000006641942,0.00002660837,0.00002971139,0.00002740096],"domain_scores_gemma":[0.9996696,0.00008353833,0.00009983298,0.00003366082,0.00005668124,0.0000566867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006373584,0.0007966859,0.8223013,0.00020125,0.0003661766,0.0008538107,0.001062065,0.0003804291,0.1559439,0.0004382514,0.0007442806,0.01053821],"study_design_scores_gemma":[0.00009678284,0.005842413,0.9468688,0.0000683098,0.0004581476,0.001657541,0.003916396,0.0009197416,0.03549127,0.0017263,0.002923387,0.00003081817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989986,0.0001323257,0.0001066417,0.0001095859,0.000004208187,0.000003360333,0.0001005647,0.000007105255,0.000537639],"genre_scores_gemma":[0.9990273,0.0001146271,0.0001350233,0.00004259297,0.000002630347,0.000002424488,0.00006347938,0.000001738319,0.0006102578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006237941,"threshold_uncertainty_score":0.01240331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209437566410161,"score_gpt":0.2690492799429623,"score_spread":0.2481055233019462,"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."}}