{"id":"W4417426106","doi":"10.1680/jenes.25.00118","title":"Valorisation of <i>Ceratonia siliqua</i> leaves as an efficient green biosorbent for dye removal","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adsorption; Freundlich equation; Valorisation; Langmuir; Aqueous solution; Wastewater; Methylene blue; Biosorption","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005986212,0.0001145552,0.0001566808,0.0001437871,0.0001155252,0.00002634807,0.0002188713,0.00004292333,0.00007825404],"category_scores_gemma":[0.00004080081,0.00009529391,0.00007210722,0.000232222,0.0003702334,0.0002570054,0.00008208258,0.00009009507,0.0000049857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164843,"about_ca_system_score_gemma":0.00002461508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001512004,"about_ca_topic_score_gemma":0.000001127934,"domain_scores_codex":[0.9988598,0.000012102,0.0003451664,0.000192544,0.0004080831,0.0001822662],"domain_scores_gemma":[0.999548,0.00002887757,0.0001650581,0.0001168968,0.000008089842,0.0001330824],"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":[0.00005389315,0.000119278,0.001234076,0.00001283038,0.000007778743,0.000002905476,0.0002189419,0.02693861,0.9640596,0.0005999235,0.00002376336,0.006728389],"study_design_scores_gemma":[0.002810194,0.00189942,0.2274583,0.000186254,0.0001200165,0.0006313279,0.001082142,0.3234807,0.4259515,0.0008466794,0.01484574,0.0006877982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954652,0.00008880822,0.003633965,0.0001502434,0.0002331027,0.000115251,0.00001025996,0.000008540379,0.0002946002],"genre_scores_gemma":[0.9956182,0.00004446895,0.003959303,0.00006573928,0.00002834416,0.000001086517,5.981178e-7,0.000005542882,0.0002767057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5381082,"threshold_uncertainty_score":0.3885973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004582595701456636,"score_gpt":0.2160440345279492,"score_spread":0.2114614388264925,"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."}}