{"id":"W3156699224","doi":"","title":"Chloride and potassium removal efficiency of an ash leaching system","year":2008,"lang":"en","type":"article","venue":"TSpace","topic":"Coal Combustion and Slurry Processing","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Slurry; Fly ash; Leaching (pedology); Potassium; Chemistry; Bottom ash; Chloride; Fouling; Wood ash; Kraft paper; Metallurgy; Solubility; Pulp and paper industry; Waste management; Materials science; Environmental engineering; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002997306,0.0002242833,0.0004876095,0.0002293943,0.0004797989,0.0005986976,0.0005564335,0.0004102501,0.001806737],"category_scores_gemma":[0.0003489138,0.0001614345,0.0002666947,0.0002243443,0.0001877643,0.0003155991,0.0002003897,0.0003311346,0.0007870676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008223412,"about_ca_system_score_gemma":0.0009333738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02044969,"about_ca_topic_score_gemma":0.03066231,"domain_scores_codex":[0.9997645,0.00001808212,0.00002670655,0.00004193289,0.00009510123,0.00005365293],"domain_scores_gemma":[0.9997906,0.00003657083,0.00001494221,0.00001140079,0.0001221515,0.00002437309],"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":[0.000744445,0.00007062339,0.0003768656,0.00008626864,0.00001314581,0.00002679723,0.00004721152,0.00051793,0.9941428,0.00002743462,0.0002177572,0.003728661],"study_design_scores_gemma":[0.00001888316,0.0003196971,0.001277431,0.000003678835,0.00002060634,0.00001542515,0.00004122248,0.001532608,0.9961644,0.00001311927,0.0005830755,0.000009788228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971913,0.0002710181,0.0008917468,0.00004192168,0.00001500522,0.00002275111,0.0003489674,0.00007679637,0.00114056],"genre_scores_gemma":[0.9907692,0.0003444806,0.001916091,0.00004129624,0.000004346954,0.00001871169,0.0005749677,0.00003099959,0.006299904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02044969,"threshold_uncertainty_score":0.04066133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788387010697858,"score_gpt":0.2543612074613958,"score_spread":0.2364773373544172,"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."}}