{"id":"W2980952435","doi":"10.1016/j.envint.2019.105239","title":"An integrated analysis on source-exposure risk of heavy metals in agricultural soils near intense electronic waste recycling activities","year":2019,"lang":"en","type":"article","venue":"Environment International","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Higher Education Discipline Innovation Project; Foundation for Innovative Research Groups of the National Natural Science Foundation of China; China Agricultural Research System; National Natural Science Foundation of China; North Carolina Central University","keywords":"Environmental science; Cadmium; Soil water; Arsenic; Health risk assessment; Contamination; Environmental chemistry; Risk assessment; Soil contamination; Environmental engineering; Agriculture; Soil Pollutants; Waste management; Health risk; Environmental health; Chemistry; Metallurgy; Engineering; Materials science; Soil science","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":[0.0007073669,0.0005338905,0.0004792404,0.00146183,0.000277373,0.0006292196,0.0003614923,0.0005044528,0.0003801041],"category_scores_gemma":[0.001005449,0.0003284186,0.001120063,0.0008953425,0.0002058827,0.0007418451,0.0006603461,0.0002183378,0.00009217794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000520264,"about_ca_system_score_gemma":0.0007195042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009749115,"about_ca_topic_score_gemma":0.007973887,"domain_scores_codex":[0.9996118,0.00007470832,0.00002259518,0.0001123523,0.0001177088,0.00006080821],"domain_scores_gemma":[0.9995734,0.0001383015,0.000111813,0.00002779471,0.0001309083,0.00001776037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000350177,0.0002393983,0.6181705,0.0003111234,0.0007405159,0.001010121,0.0003929379,0.2564872,0.0362553,0.001644733,0.0004337432,0.08396432],"study_design_scores_gemma":[0.00002148551,0.0003050495,0.2523818,0.00002460359,0.0003632458,0.0003694541,0.000643742,0.732893,0.008537232,0.003661728,0.0007371383,0.0000614353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967149,0.0002050078,0.03184519,0.00004919807,0.000004226544,0.00002680619,0.0002234952,0.00007381759,0.0004231844],"genre_scores_gemma":[0.9962753,0.0001076927,0.003091225,0.000007915272,0.000004422666,0.00001044988,0.0002230364,0.000007110526,0.0002729095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009749115,"threshold_uncertainty_score":0.01938474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00435809675892635,"score_gpt":0.2120116703942114,"score_spread":0.2076535736352851,"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."}}