{"id":"W4396645457","doi":"10.1016/j.envpol.2024.124102","title":"Effects of nitrogen regulation on heavy metal phytoextraction efficiency (Leucaena leucocephala): Application of a nitrogen fertilizer and a fungal agent","year":2024,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Leucaena leucocephala; Phytoremediation; Nitrogen; Leucaena; Agronomy; Nitrogen fertilizer; Heavy metals; Environmental science; Fertilizer; Chemistry; Botany; Biology; Environmental chemistry","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":[0.000257762,0.0004028271,0.0004637635,0.0001969158,0.000280451,0.0004599706,0.0006729926,0.0008351758,0.00156081],"category_scores_gemma":[0.0004201609,0.0003348313,0.0003554295,0.0001763141,0.0003541438,0.000510292,0.0004532255,0.0007630254,0.0003725995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006548295,"about_ca_system_score_gemma":0.0005049336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004171795,"about_ca_topic_score_gemma":0.005905381,"domain_scores_codex":[0.9996955,0.00005013307,0.00003580775,0.0001073999,0.0000431546,0.00006807831],"domain_scores_gemma":[0.999328,0.0002287571,0.0001125402,0.0000627757,0.00006928363,0.0001985912],"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":[0.0006593504,0.00008377125,0.0002732864,0.00002182024,0.000007913378,0.00003483414,0.00002316684,0.00005455525,0.9983897,0.00002483972,0.00001103396,0.0004157056],"study_design_scores_gemma":[0.00008046834,0.001308594,0.01586714,0.00000686267,0.00004537785,0.00009146345,0.0001009938,0.001195027,0.9803011,0.00005601188,0.0009259894,0.00002092987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998561,0.0002245267,0.0003451294,0.000071965,0.00002046175,0.00001100012,0.0001510253,0.00002632452,0.0005886956],"genre_scores_gemma":[0.995877,0.0001149608,0.0005755188,0.00006983399,0.000004548761,0.00002373428,0.0002468079,0.00001697055,0.003070684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004171795,"threshold_uncertainty_score":0.008295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005334936060349228,"score_gpt":0.2175386061792695,"score_spread":0.2122036701189203,"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."}}