{"id":"W4366492316","doi":"10.11159/iceptp23.123","title":"Phytoextraction of Dieldrin from a Historically Contaminated: Focus On Accumulation and Distribution in Various Plant Species","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Biochemical and biochemical processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Phytoremediation; Dieldrin; Contamination; Environmental science; Environmental chemistry; Distribution (mathematics); Focus (optics); Heavy metals; Waste management; Chemistry; Agronomy; Biology; Pesticide; Engineering; Ecology; Mathematics; Physics","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":[0.0001326587,0.0001828785,0.0002017203,0.0006501823,0.0003195425,0.0005201969,0.0001190138,0.0003052363,0.0004655948],"category_scores_gemma":[0.0001019168,0.0001260407,0.0001853627,0.0005306529,0.0002010529,0.0003161773,0.000288166,0.0003150267,0.0001942998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004406338,"about_ca_system_score_gemma":0.0002136242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759077,"about_ca_topic_score_gemma":0.00614306,"domain_scores_codex":[0.9999015,0.000006868162,0.00000585985,0.00004407921,0.00002717009,0.00001453043],"domain_scores_gemma":[0.9998991,0.0000246292,0.00001665353,0.00001136141,0.0000364271,0.00001167339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000606198,0.00001394253,0.002821541,0.00004154435,0.000008665984,0.00004789342,0.00006150828,0.00006876963,0.9920627,0.00003182034,0.00001640977,0.004764515],"study_design_scores_gemma":[0.000002500781,0.0002058052,0.09010348,0.00001292094,0.00004856986,0.0005959469,0.0002331649,0.0005693274,0.9034172,0.0000815949,0.004715497,0.00001400032],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929675,0.002063822,0.00301593,0.00006280557,0.000007384833,0.000007688794,0.0003295318,0.00002574617,0.001519642],"genre_scores_gemma":[0.9863127,0.003705074,0.003357168,0.00006787346,0.000006808983,0.000007412922,0.0005411502,0.00002230605,0.00597953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002759077,"threshold_uncertainty_score":0.005486071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007107018134715902,"score_gpt":0.1945658103536188,"score_spread":0.1874587922189029,"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."}}