{"id":"W2124427224","doi":"10.1139/er-2015-0010","title":"Heavy metal detoxification and tolerance mechanisms in plants: Implications for phytoremediation","year":2015,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Plant Stress Responses and Tolerance","field":"Agricultural and Biological Sciences","cited_by":220,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Motilal Nehru National Institute of Technology Allahabad; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Phytoremediation; Phytoextraction process; Detoxification (alternative medicine); Environmental chemistry; Bioremediation; Cadmium; Zinc; Metal toxicity; Hyperaccumulator; Bioaccumulation; Chemistry; Biology; Heavy metals; Contamination; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002696164,0.0004282495,0.0006398793,0.0004150382,0.0002039216,0.0007646621,0.000434858,0.000835839,0.001182046],"category_scores_gemma":[0.0001096285,0.0001512397,0.000276503,0.0005225069,0.0004877774,0.0008099041,0.0003874804,0.0007672471,0.000492394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006609843,"about_ca_system_score_gemma":0.0004714179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008049867,"about_ca_topic_score_gemma":0.001070331,"domain_scores_codex":[0.9999206,0.00001580422,0.000006206879,0.00001706029,0.00002134874,0.00001892877],"domain_scores_gemma":[0.999921,0.0000216215,0.00001628122,0.000003441116,0.00002380437,0.00001379978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002398269,0.0001508887,0.001546092,0.01381579,0.00008305191,0.000983711,0.0005163388,0.001915767,0.4672361,0.01791658,0.006494718,0.4891011],"study_design_scores_gemma":[0.00003870537,0.001615976,0.0223647,0.002461059,0.0002179372,0.00508889,0.002007239,0.001898114,0.09045812,0.03023931,0.8435011,0.00010886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007311861,0.9882081,0.001490387,0.001243492,0.00008973211,0.000004856384,0.00001943979,0.00002540364,0.001606785],"genre_scores_gemma":[0.0457346,0.9493856,0.001710739,0.0004248946,0.0001484105,0.00001137136,0.00004226026,0.000006229722,0.002536021],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001182046,"threshold_uncertainty_score":0.00479579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05255656574808105,"score_gpt":0.2554311316032184,"score_spread":0.2028745658551374,"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."}}