{"id":"W3174669476","doi":"10.14712/23361964.2021.4","title":"Phytoremediation of soils polluted with heavy metals in the vicinity of the Zenica steel mill in Bosnia and Herzegovina: potential for using native flora","year":2021,"lang":"en","type":"article","venue":"EUROPEAN JOURNAL OF ENVIRONMENTAL SCIENCES","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; Rio Tinto","keywords":"Phytoremediation; Bioaccumulation; Heavy metals; Environmental chemistry; Soil water; Environmental science; Atomic absorption spectroscopy; Pollution; Native plant; Metal; Soil contamination; Phytoextraction process; Hyperaccumulator; Chemistry; Metallurgy; Botany; Materials science; Ecology; Soil science; Biology; Introduced species","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003317643,0.0001397092,0.0002595075,0.00005592227,0.0001287027,0.00001863322,0.0004749891,0.00002164969,0.00009462576],"category_scores_gemma":[0.00011246,0.00007909507,0.00008786361,0.0003638969,0.001388434,0.0003239894,0.0002277117,0.0001716385,0.000001324787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001426826,"about_ca_system_score_gemma":0.00003167165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002153978,"about_ca_topic_score_gemma":0.00005813093,"domain_scores_codex":[0.9970636,0.001040238,0.0006124424,0.000234758,0.00082792,0.0002209967],"domain_scores_gemma":[0.999009,0.0001583914,0.0005922932,0.0001816418,0.000004761247,0.00005393884],"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":[0.0003188115,0.001272457,0.1565238,0.00003715541,0.00007170557,0.0001159343,0.006981234,0.08134113,0.7452706,0.00004684805,0.0000475237,0.007972808],"study_design_scores_gemma":[0.0009291046,0.0004749393,0.9614308,0.00007256134,0.00004434603,0.00008639624,0.002990117,0.00111493,0.03248915,0.00008828197,0.0001640631,0.0001152523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980981,0.0002789907,0.00039194,0.0003323748,0.00009482889,0.0002478408,0.00001943402,8.093494e-7,0.000535661],"genre_scores_gemma":[0.9951199,0.00008636917,0.004626524,0.0001130429,0.00002948781,0.000001299431,4.774133e-7,0.000009831731,0.00001306946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.804907,"threshold_uncertainty_score":0.5115744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083918385092105,"score_gpt":0.2393059087355168,"score_spread":0.2184667248845957,"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."}}