{"id":"W2342227888","doi":"10.1080/19443994.2015.1135084","title":"Removal of copper, zinc and cadmium ions through adsorption on water-quenched blast furnace slag","year":2016,"lang":"en","type":"article","venue":"Desalination and Water Treatment","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Ministry of Education, India; Ministry of Earth Sciences; National Natural Science Foundation of China","keywords":"Zinc; Copper; Cadmium; Adsorption; Ground granulated blast-furnace slag; Blast furnace; Slag (welding); Metallurgy; Ion; Chemistry; Materials science; Inorganic chemistry","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":[0.0001522562,0.00024773,0.0003782162,0.0002301878,0.000339251,0.0002879479,0.0002302477,0.0002691323,0.0006397518],"category_scores_gemma":[0.0001684355,0.0001300747,0.0002779538,0.0001931086,0.0001980667,0.0001513975,0.0001543579,0.0002605653,0.000199851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004258482,"about_ca_system_score_gemma":0.0003158922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007156057,"about_ca_topic_score_gemma":0.01026648,"domain_scores_codex":[0.9998664,0.00001487389,0.000006814812,0.00001901879,0.00006261151,0.00003034479],"domain_scores_gemma":[0.9999501,0.00001220732,0.000007989797,0.000004352171,0.00001840539,0.000007029312],"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":[0.0001170341,0.00001634929,0.0003783556,0.0000331014,0.000004057747,0.00002396949,0.00002735684,0.0003226239,0.9978016,0.00002864007,0.0000285248,0.001218316],"study_design_scores_gemma":[0.000008230637,0.00009813759,0.001987368,0.000001847009,0.000004633063,0.00001215495,0.00002633364,0.001662876,0.9959278,0.00001501977,0.0002518463,0.000003899723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999018,0.0000825451,0.0005381056,0.00001346399,0.000005783765,0.000005143359,0.00004259415,0.00001930923,0.0002750567],"genre_scores_gemma":[0.9982263,0.00007226262,0.0005005713,0.000008911137,0.000002268281,0.000003663124,0.00005501227,0.000004912068,0.001126066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007156057,"threshold_uncertainty_score":0.01422876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699465836607056,"score_gpt":0.2393380829150562,"score_spread":0.2223434245489856,"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."}}