{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001628254,0.0001310626,0.0001353997,0.0000768938,0.0002046504,0.00005395177,0.00006946062,0.0000431964,0.00005685405],"category_scores_gemma":[0.00002115291,0.0000847617,0.00002380758,0.00002803258,0.0001503383,0.0001722785,0.0000971042,0.0000160571,0.00004502043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180063,"about_ca_system_score_gemma":0.000005183492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002071156,"about_ca_topic_score_gemma":0.00006104522,"domain_scores_codex":[0.9992583,0.00004620701,0.0001620185,0.0002496523,0.000138259,0.0001455426],"domain_scores_gemma":[0.9995254,0.00002113904,0.00008495901,0.0002581537,0.000008351267,0.0001019522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003697701,0.0001573681,0.7952508,0.000005229063,0.00005937564,0.000009727576,0.005660835,0.000007861722,0.1342877,0.00003442807,0.00004272213,0.06411427],"study_design_scores_gemma":[0.001197801,0.000511952,0.5831588,0.000007838153,0.00003370862,0.000006338516,0.00007450185,0.00005056301,0.4137093,0.00005867005,0.001102019,0.00008851361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977589,0.00001600715,0.00003197047,0.001657673,0.00006428274,0.0002693156,0.00001562966,0.00001768994,0.0001685737],"genre_scores_gemma":[0.9982088,0.0000195629,0.001225478,0.0000335074,0.000009971006,0.00003574669,0.00001968056,0.000008735686,0.0004385172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2794217,"threshold_uncertainty_score":0.3456482,"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."}}