{"id":"W41637578","doi":"10.1139/s04-078","title":"Kinetic removal of lead from water by decaying Tamrix leaves","year":2005,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Freundlich equation; Adsorption; Chemistry; Aqueous solution; Metal ions in aqueous solution; Metal; Ion; Lead (geology); Inorganic chemistry; Nuclear chemistry; Environmental chemistry; Organic chemistry; Biology","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":[0.00006230142,0.0002407278,0.0002284705,0.0001239271,0.0001248492,0.0003084478,0.0001560372,0.0001467964,0.0005755076],"category_scores_gemma":[0.0001305938,0.00009519289,0.0002022569,0.0001270434,0.00009350761,0.000236543,0.0001710296,0.0002115335,0.0002510058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839418,"about_ca_system_score_gemma":0.0001049725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002187651,"about_ca_topic_score_gemma":0.0022763,"domain_scores_codex":[0.9999681,0.000003501048,0.000002928551,0.00000664694,0.00001032048,0.000008505994],"domain_scores_gemma":[0.9999651,0.00001144806,0.000008294036,0.000002796909,0.000007479672,0.000004869367],"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":[0.00006366584,0.000006746822,0.0007128455,0.00007532818,0.000003278326,0.00004088748,0.0000339959,0.0001258736,0.9959152,0.00002656319,0.00001255486,0.002983056],"study_design_scores_gemma":[0.00001001866,0.0002805436,0.008931516,0.000009496234,0.0000184929,0.0001052252,0.00008239365,0.002841388,0.9864711,0.00006051595,0.00118118,0.000008059303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967674,0.000628048,0.001516463,0.00002559929,0.000004099904,0.00001124348,0.00007088497,0.00002748872,0.0009487307],"genre_scores_gemma":[0.9956036,0.0005114179,0.00132689,0.00002293562,0.000001953322,0.000009137802,0.0001433845,0.0000115038,0.002369278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002187651,"threshold_uncertainty_score":0.004349887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004178959299029902,"score_gpt":0.1800598469387915,"score_spread":0.1758808876397616,"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."}}