{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001093197,0.00007481893,0.0001142089,0.00005151826,0.00008810046,0.00001257417,0.00005949426,0.00003471359,0.000006437524],"category_scores_gemma":[0.00001554857,0.00007476404,0.00001688878,0.0001028103,0.00002691641,0.00008855712,0.00001720815,0.0001013963,0.000003993322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002543722,"about_ca_system_score_gemma":0.00001157435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002596722,"about_ca_topic_score_gemma":0.000003628368,"domain_scores_codex":[0.9995649,0.00001300027,0.0001082254,0.00009263641,0.0001030074,0.0001181798],"domain_scores_gemma":[0.9997728,0.00001599813,0.0000210046,0.0001121244,0.00001957476,0.00005848843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002617507,0.0003116426,0.004781039,0.007123352,0.0001481926,0.0009108876,0.1118008,0.2378166,0.5503731,0.01063277,0.001272195,0.07456771],"study_design_scores_gemma":[0.00126514,0.0001599797,0.008255407,0.0004212114,0.00004287522,0.001837981,0.009888036,0.8646588,0.1071253,0.00003060316,0.005589426,0.0007252801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795167,0.0003512953,0.006370511,0.00002156775,0.0001445067,0.00003699579,4.684191e-7,0.0002508461,0.01330705],"genre_scores_gemma":[0.9987102,0.00001304573,0.0008557849,0.000006211605,0.00004527141,8.296374e-7,9.444465e-7,0.00001331882,0.000354381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6268422,"threshold_uncertainty_score":0.304879,"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."}}