{"id":"W4298982442","doi":"","title":"Efficiency of Removing Chromium from Plating Industry Wastewater using the Electrocoagulation Method","year":2015,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electrocoagulation; Chrome plating; Chromium; Wastewater; Plating (geology); Pulp and paper industry; Materials science; Metallurgy; Environmental science; Electroplating; Environmental engineering; Engineering; Composite material; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002158742,0.0002258849,0.0004785158,0.0003440928,0.0001627293,0.0004600488,0.0009998144,0.0001896994,0.0009473959],"category_scores_gemma":[0.0003008647,0.0001669674,0.0001165315,0.0006202622,0.00003927479,0.001413058,0.0002599131,0.0008194961,0.000002894761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293704,"about_ca_system_score_gemma":0.00007373093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008712,"about_ca_topic_score_gemma":0.00001700509,"domain_scores_codex":[0.9978659,0.0003087276,0.0007998649,0.000223106,0.000522065,0.000280404],"domain_scores_gemma":[0.9985668,0.0002950287,0.0005377299,0.0003052056,0.0001499616,0.0001452674],"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":[0.00003302391,0.00002824733,0.01518322,0.00002940297,0.00008793877,0.000002873779,0.0003463986,0.07511681,0.9010522,0.0000106421,0.0004937451,0.0076155],"study_design_scores_gemma":[0.0004661056,0.000007593227,0.03621131,0.0004254391,0.0001079104,0.00002568549,0.0005344408,0.1746715,0.7850818,0.0009174223,0.001177195,0.0003736001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685633,0.003157802,0.02473581,0.00002494431,0.0006062128,0.0002262961,0.000008518161,0.0000493376,0.002627842],"genre_scores_gemma":[0.9939724,0.0001122675,0.005522338,0.0000353412,0.0002621043,0.00000379228,0.000006215817,0.00004154062,0.00004395921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1159704,"threshold_uncertainty_score":0.9999658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3387586052521832,"score_gpt":0.5497371220543813,"score_spread":0.2109785168021981,"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."}}