{"id":"W2521570454","doi":"10.2166/wqrj.2002.024","title":"Cocoa Shells as Adsorbent for Metal Recovery from Acid Effluent","year":2002,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Adsorption; Effluent; Chemistry; Desorption; Human decontamination; Metal; Sewage sludge; Langmuir adsorption model; Nuclear chemistry; Elution; Substrate (aquarium); Environmental chemistry; Chromatography; Sewage; Waste management; Environmental engineering; Organic chemistry; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001098752,0.0006417013,0.0002558508,0.0005124056,0.0002092261,0.0003344893,0.0001941648,0.0002293328,0.0008575611],"category_scores_gemma":[0.0002135466,0.0001519477,0.000249732,0.0002781946,0.0001416163,0.0001635344,0.0001863249,0.0001918834,0.00032314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001645472,"about_ca_system_score_gemma":0.0001546368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003481219,"about_ca_topic_score_gemma":0.003615505,"domain_scores_codex":[0.9998842,0.00001955501,0.000007256583,0.00001791285,0.00004619505,0.00002478481],"domain_scores_gemma":[0.9999061,0.00001578,0.00001402543,0.000006490543,0.00003487883,0.00002265401],"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":[0.00006748692,0.00001529873,0.0002060693,0.00006372359,0.000005514789,0.00005172581,0.00000752277,0.00006369548,0.9975302,0.00001181869,0.00002435003,0.001952608],"study_design_scores_gemma":[0.000006699834,0.0001868826,0.002542925,0.000007352969,0.00001960363,0.000106174,0.0000167872,0.0008921397,0.9954078,0.000007265107,0.0008019176,0.000004592558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938436,0.001356708,0.003279893,0.00004411432,0.00002843474,0.0000224438,0.0001113555,0.0001164317,0.001197073],"genre_scores_gemma":[0.9941046,0.0005530819,0.00336124,0.00002354899,0.000006756248,0.000009014548,0.0001691335,0.00002595149,0.001746645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003481219,"threshold_uncertainty_score":0.006921887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347099991538337,"score_gpt":0.371910358838763,"score_spread":0.2372003596849293,"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."}}