{"id":"W2339143284","doi":"10.1680/jenes.15.00010","title":"Chromium removal from electroplating waste using palm oil fuel ash","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chromium; Leaching (pedology); Compressive strength; Metallurgy; Hexavalent chromium; Particle size; Materials science; Pulp and paper industry; Ferrous; Waste management; Cement; Environmental science; Chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000344885,0.0001398762,0.0001521739,0.00008244209,0.0001168831,0.00004130038,0.0002272031,0.00004397241,0.0005890261],"category_scores_gemma":[0.00004508724,0.00009347785,0.00006330346,0.0001619356,0.000372619,0.0005741298,0.0001464302,0.0001248752,0.00003337728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003179564,"about_ca_system_score_gemma":0.00001511028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001087285,"about_ca_topic_score_gemma":0.000001114332,"domain_scores_codex":[0.9986089,0.00001358073,0.0003056705,0.0002207091,0.0005551547,0.0002959659],"domain_scores_gemma":[0.9994408,0.00003423024,0.0001853647,0.000115441,0.000003187209,0.0002209216],"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":[0.00001111703,0.00001838411,0.0025533,0.000001564063,0.000004928448,0.0000224554,0.00005750747,0.001703336,0.9838026,0.00001017841,0.000009641217,0.01180498],"study_design_scores_gemma":[0.005569581,0.001027173,0.2276273,0.0006674415,0.0001598457,0.0083782,0.001088582,0.1785578,0.5515637,0.0004708588,0.02273814,0.002151416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974281,0.0001436211,0.001803433,0.00009512303,0.0002250787,0.00001830498,0.000009696225,0.00001112435,0.0002654756],"genre_scores_gemma":[0.9924121,0.0001900051,0.006960461,0.00003958405,0.0001257077,1.795443e-7,1.878606e-7,0.00001021076,0.0002615415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4322389,"threshold_uncertainty_score":0.6449423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006215584205626295,"score_gpt":0.1865295441787801,"score_spread":0.1803139599731538,"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."}}