{"id":"W2623919153","doi":"10.5004/dwt.2017.20545","title":"Response of duckweed to lead exposure: phytomining, bioindicators and bioremediation","year":2017,"lang":"en","type":"article","venue":"Desalination and Water Treatment","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Bioaccumulation; Bioconcentration; Environmental chemistry; Bioindicator; Phytoremediation; Chemistry; Macrophyte; Photosynthetic pigment; Aquatic plant; Wastewater; Photosynthesis; Heavy metals; Environmental engineering; Environmental science; Ecology; 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":[0.00009153056,0.0004047306,0.0003311504,0.0001727878,0.0001397209,0.0002759984,0.0001512064,0.0003447225,0.0009583302],"category_scores_gemma":[0.000151958,0.000121778,0.0001684751,0.0001430955,0.0001249036,0.0001421494,0.0001845029,0.0002708335,0.0001763783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004711721,"about_ca_system_score_gemma":0.0001359225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004350777,"about_ca_topic_score_gemma":0.006570746,"domain_scores_codex":[0.9998968,0.00001710036,0.00001206754,0.00003042387,0.00002559109,0.00001801834],"domain_scores_gemma":[0.9998724,0.00002494468,0.00002966729,0.0000124823,0.00003342464,0.00002701719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007389673,0.000009773668,0.0003622527,0.00002703978,0.000003034745,0.0000188823,0.00001474623,0.00002544099,0.9990147,0.00000335416,0.000007359948,0.0004395454],"study_design_scores_gemma":[0.000008173303,0.0007613128,0.03058228,0.000009499118,0.00001852106,0.0001103121,0.0001305456,0.0005570787,0.9667671,0.00002327217,0.001021672,0.00001026557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980327,0.000487332,0.0006387661,0.00004562481,0.00001173128,0.00002070645,0.0002697722,0.0000386896,0.0004546597],"genre_scores_gemma":[0.9951392,0.0002722346,0.001101661,0.0000756131,0.000002630708,0.00003611855,0.0003830833,0.00001315719,0.00297613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004350777,"threshold_uncertainty_score":0.008650899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290479265009407,"score_gpt":0.244115679949171,"score_spread":0.231210887299077,"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."}}