{"id":"W2337822674","doi":"10.1016/j.scitotenv.2016.04.044","title":"Greenhouse cultivation mitigates metal-ingestion-associated health risks from vegetables in wastewater-irrigated agroecosystems","year":2016,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; Fok Ying Tong Education Foundation; National Natural Science Foundation of China","keywords":"Environmental science; Irrigation; Wastewater; Greenhouse; Agronomy; Soil water; Bioaccumulation; Biomass (ecology); Bioconcentration; Environmental engineering; Environmental chemistry; Chemistry; Biology","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":[0.0002126423,0.0003234211,0.0003883916,0.0002475735,0.0004689139,0.0006394635,0.00052759,0.0003769953,0.001140119],"category_scores_gemma":[0.0003332724,0.0001360306,0.0003129456,0.0002039797,0.0003752223,0.0003616144,0.0005774499,0.0003508849,0.0001595681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008347136,"about_ca_system_score_gemma":0.00097179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01045388,"about_ca_topic_score_gemma":0.02128752,"domain_scores_codex":[0.9998453,0.00003084082,0.000007487033,0.00005071019,0.00002372264,0.00004188719],"domain_scores_gemma":[0.9996741,0.00006261708,0.00008574344,0.00004212002,0.00005442519,0.00008089493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001010151,0.0002227462,0.007923874,0.0001031194,0.00002785737,0.0002040871,0.0002248584,0.0004248637,0.9838619,0.0001129374,0.0002179485,0.005665582],"study_design_scores_gemma":[0.000166147,0.008429935,0.3919733,0.00008883112,0.0003391452,0.0004424261,0.003481088,0.006679082,0.579151,0.001134114,0.008049399,0.00006551982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989052,0.00007683429,0.0003342505,0.0000520638,0.000007040407,0.00001034254,0.00004446111,0.00004034755,0.0005295934],"genre_scores_gemma":[0.9983954,0.0001164028,0.0006444117,0.00004205219,0.000002364909,0.0000150244,0.0001112228,0.00001352024,0.0006595739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01045388,"threshold_uncertainty_score":0.02078605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082129902627653,"score_gpt":0.2379878962801079,"score_spread":0.2171665972538313,"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."}}