{"id":"W4308476604","doi":"10.18280/ijdne.170507","title":"Phytoremediation of Zinc, Copper, and Lead Using Ipomoea Aquatica in Water Contaminants","year":2022,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Heavy Metal Pollution Remediation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phytoremediation; Zinc; Bioconcentration; Environmental chemistry; Spinach; Cadmium; Contamination; Chemistry; Ipomoea aquatica; Copper; Tempe; Environmental science; Pollution; Environmental engineering; Heavy metals; Bioaccumulation; Biology; Ecology; Food science","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":[0.00007267178,0.0002673512,0.0002284333,0.0002818139,0.0002515218,0.0002812897,0.0001531975,0.00018743,0.0004347107],"category_scores_gemma":[0.00007087996,0.000111579,0.0002533152,0.0001605559,0.0001518468,0.0001801669,0.0002432605,0.0002988458,0.00009727148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147696,"about_ca_system_score_gemma":0.0002062779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003336293,"about_ca_topic_score_gemma":0.006042998,"domain_scores_codex":[0.9999529,0.000004946913,0.000003970244,0.00001611218,0.00001095962,0.0000111437],"domain_scores_gemma":[0.9999636,0.000006000015,0.000007955706,0.000003204473,0.00000992588,0.000009252291],"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":[0.00005359755,0.00004963411,0.001697281,0.0001034965,0.00000701386,0.00006706821,0.00005282923,0.00009765266,0.9924915,0.00002304755,0.00001756509,0.005339262],"study_design_scores_gemma":[0.00002608337,0.002721347,0.1542374,0.00005026464,0.0001581779,0.0003942667,0.0004320458,0.002721496,0.834025,0.0001415053,0.00506959,0.00002286495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980699,0.0003093137,0.0006761468,0.00002827298,0.000004602066,0.00001693612,0.0001023361,0.00002290472,0.0007695782],"genre_scores_gemma":[0.9949473,0.0004082805,0.002321004,0.00004800497,0.000002402509,0.00002323712,0.0002057008,0.000008069811,0.002036147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003336293,"threshold_uncertainty_score":0.006633699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457371188766938,"score_gpt":0.2590006689439149,"score_spread":0.2444269570562456,"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."}}