{"id":"W4408977381","doi":"10.1002/cjce.25696","title":"Fast adsorption of methylene blue and crystal violet from aqueous solution by sustainable biosorbent (pine needle of <scp> <i>Pinus nigra</i> </scp> Arn.): Kinetics, equilibrium, and thermodynamics study","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crystal violet; Aqueous solution; Adsorption; Methylene blue; Kinetics; Chemistry; Pinus <genus>; Thermodynamics; Nuclear chemistry; Chemical engineering; Botany; Physical chemistry; Organic chemistry; Physics; Catalysis; Biology; Engineering","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":[0.0001511455,0.0002730354,0.0002446966,0.0002002486,0.0001811617,0.0002034609,0.0001975689,0.0002284829,0.0004241778],"category_scores_gemma":[0.0001360976,0.0001354962,0.0003331088,0.0002124117,0.0001174956,0.0001997638,0.0001829944,0.0002212904,0.0001602754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001771143,"about_ca_system_score_gemma":0.000215006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003106621,"about_ca_topic_score_gemma":0.003570214,"domain_scores_codex":[0.9998549,0.00001410809,0.000008616159,0.00003076515,0.0000673763,0.00002427465],"domain_scores_gemma":[0.9999566,0.0000100811,0.000009186934,0.000002877276,0.00001422452,0.000007038991],"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":[0.00003401001,0.0000115585,0.0003169521,0.00006327264,0.000005100989,0.00002931315,0.00001829224,0.0001750548,0.9981506,0.00003382464,0.00001572815,0.001146139],"study_design_scores_gemma":[0.000007438697,0.0001801382,0.00424683,0.000004674494,0.00001305155,0.00006744774,0.00003980233,0.003370754,0.9913782,0.00002614035,0.000656648,0.000008876579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969323,0.0005591655,0.001850994,0.00001877585,0.000007782533,0.00001012181,0.000098724,0.00002617715,0.0004960281],"genre_scores_gemma":[0.9969959,0.0003933161,0.001578838,0.00001278379,0.000002495211,0.00001479298,0.0001151059,0.00000738976,0.0008792056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003106621,"threshold_uncertainty_score":0.006177068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003530478103061721,"score_gpt":0.1784664996432581,"score_spread":0.1749360215401963,"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."}}