{"id":"W4281863244","doi":"10.5539/jsd.v15n4p63","title":"Lignocellulosic Biomass Waste Adsorbent for Removal of Dye from Aqueous Solution","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Date Palm Research Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Abdulaziz University","keywords":"Adsorption; Sorbent; Langmuir; Freundlich equation; Biomass (ecology); Wastewater; Langmuir adsorption model; Aqueous solution; Chemistry; Extraction (chemistry); Raw material; Pulp and paper industry; Methylene blue; Nuclear chemistry; Chromatography; Chemical engineering; Environmental engineering; Environmental science; Organic chemistry; Photocatalysis","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":[0.0001081701,0.0002878236,0.0002283355,0.0003651555,0.0001660196,0.0001942685,0.0001620208,0.0002946145,0.0008422674],"category_scores_gemma":[0.00009674854,0.00008630776,0.0002780156,0.0002031955,0.00006096825,0.0001942413,0.0001473227,0.0002261468,0.0003076445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358898,"about_ca_system_score_gemma":0.0001717236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149835,"about_ca_topic_score_gemma":0.002950037,"domain_scores_codex":[0.999929,0.000007858338,0.00000469833,0.00001172936,0.00003374613,0.00001304604],"domain_scores_gemma":[0.9999751,0.000004984815,0.000004190204,0.000002065237,0.000008190388,0.000005416903],"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":[0.0000349635,0.00003557164,0.0001865256,0.00009199986,0.000004342151,0.00005161586,0.000009425404,0.0001754209,0.9949798,0.0000391459,0.00003115863,0.004359912],"study_design_scores_gemma":[0.00000389189,0.0002072812,0.001707408,0.000009771407,0.00001045018,0.0001154992,0.00001800927,0.001515082,0.995313,0.00002403029,0.001071443,0.000004139171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901507,0.001959282,0.005370197,0.0000753452,0.0000191919,0.00003168712,0.0001836361,0.00006887701,0.002141099],"genre_scores_gemma":[0.9883492,0.001418779,0.005840877,0.00003386048,0.000006571081,0.00001872007,0.0002128126,0.000008262482,0.004110817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001149835,"threshold_uncertainty_score":0.00281769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228624076034658,"score_gpt":0.2369687621505721,"score_spread":0.2141063545471063,"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."}}