{"id":"W3135751790","doi":"10.1080/03067319.2021.1893704","title":"Assessment of potentially toxic elements in vegetables and soil samples irrigated with treated sewage and human health risk assessment","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental & Analytical Chemistry","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Arsenic; Graphite furnace atomic absorption; Detection limit; Extraction (chemistry); Chemistry; Certified reference materials; Environmental chemistry; Metalloid; Chromatography; Metal","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006426843,0.0002302919,0.0004300207,0.00005242652,0.0000691083,0.00004461184,0.0002430714,0.00007750522,0.001739869],"category_scores_gemma":[0.00002636229,0.0002017974,0.0000836093,0.00008959975,0.0004316726,0.000216456,0.0003313935,0.0003728043,0.000001757798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008068239,"about_ca_system_score_gemma":0.00005956932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001190282,"about_ca_topic_score_gemma":0.00006849881,"domain_scores_codex":[0.9972628,0.0001379136,0.0009104428,0.000371798,0.001051508,0.0002655787],"domain_scores_gemma":[0.9988605,0.00007679872,0.0006093957,0.0001856235,0.00001254364,0.0002550802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002953841,0.0008014009,0.8035417,0.00002127685,0.0002731101,0.0001869753,0.00004126383,0.001294739,0.1918129,0.00002452637,0.00001531059,0.001957251],"study_design_scores_gemma":[0.001613146,0.0002052634,0.9672891,0.0001205061,0.0001005939,0.0002595244,0.0002476135,0.001007701,0.02858644,0.0001395128,0.0002347014,0.000195905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976088,0.0001556044,0.0003606967,0.0002963934,0.00002780707,0.00008432951,0.00007747354,0.000003693597,0.001385221],"genre_scores_gemma":[0.993935,0.0005774162,0.005157257,0.00008222775,0.00003284617,0.000003257001,0.00004128083,0.00001887485,0.0001518479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1637474,"threshold_uncertainty_score":0.9991727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00916422657653906,"score_gpt":0.2935544062235008,"score_spread":0.2843901796469617,"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."}}