{"id":"W3017158433","doi":"10.1016/j.jes.2020.04.003","title":"Simultaneous removal of arsenic and antimony from mining wastewater","year":2020,"lang":"en","type":"editorial","venue":"Journal of Environmental Sciences","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Arsenic; Antimony; Wastewater; Environmental science; Mining engineering; Environmental chemistry; Waste management; Chemistry; Geology; Environmental engineering; Metallurgy; Engineering; 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":[0.007130058,0.004052424,0.003494776,0.003069174,0.002767246,0.006897649,0.00384927,0.01792813,0.00700239],"category_scores_gemma":[0.01305526,0.001315152,0.002333163,0.001499956,0.001851568,0.003711614,0.001389961,0.01268717,0.00584301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002533708,"about_ca_system_score_gemma":0.00300609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001916401,"about_ca_topic_score_gemma":0.005491527,"domain_scores_codex":[0.9950359,0.0006949534,0.0005885171,0.0005343445,0.002887864,0.0002583754],"domain_scores_gemma":[0.9871433,0.004931086,0.0005411102,0.000282809,0.005445796,0.00165586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001636126,0.00004856725,0.00003314033,0.0004060243,0.00004426157,0.0001666424,0.00001461363,0.00005717481,0.0007239736,0.0002835821,0.9867588,0.01129957],"study_design_scores_gemma":[0.000155044,0.0001581687,0.0006470319,0.0002699898,0.0001419425,0.0002875756,0.00006202928,0.0004611714,0.001196897,0.001502365,0.9950812,0.00003650027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001213007,0.0038519,0.0001584805,0.01469344,0.9796591,0.00002117832,0.00004258231,0.00003527088,0.001416779],"genre_scores_gemma":[0.000970092,0.004918311,0.0001541351,0.01088526,0.96816,0.00002813516,0.00004954312,0.00003187748,0.01480254],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01792813,"threshold_uncertainty_score":0.03770781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006262868834874273,"score_gpt":0.2168919487505865,"score_spread":0.2106290799157122,"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."}}