{"id":"W2159307979","doi":"10.4314/wsa.v29i2.4851","title":"Arsenic removal from drinking water using granular ferric hydroxide","year":2003,"lang":"en","type":"article","venue":"Water SA","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Regina","funders":"Health Canada; U.S. Environmental Protection Agency","keywords":"Arsenic; Arsenate; Chemistry; Arsenite; Adsorption; Freundlich equation; Hydroxide; Environmental chemistry; Tap water; Ferric; Langmuir; Hydrous ferric oxides; Activated alumina; Water column; Inorganic chemistry; Environmental engineering; Environmental science; Geology; Sorption","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001662287,0.0003701386,0.0002824027,0.0002684217,0.0002343152,0.0003289131,0.0002135324,0.0003328235,0.000308661],"category_scores_gemma":[0.0002169688,0.0001594906,0.0003614114,0.0001884636,0.0001858617,0.0002354034,0.0002122181,0.0002153782,0.000203414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003004445,"about_ca_system_score_gemma":0.0002425527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003711203,"about_ca_topic_score_gemma":0.005081809,"domain_scores_codex":[0.999803,0.00003296754,0.00001206876,0.00003149474,0.00008851792,0.00003200692],"domain_scores_gemma":[0.9999423,0.00001055927,0.00001196162,0.000005145952,0.0000199173,0.00001021141],"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":[0.00004664344,0.00002240841,0.0004349854,0.00007866785,0.000006468379,0.0000386444,0.00001879923,0.000185008,0.9947386,0.00001196874,0.00002400147,0.004393773],"study_design_scores_gemma":[0.00001967861,0.000973681,0.005030273,0.00001139594,0.00002744559,0.0001574888,0.00006628605,0.0014687,0.9896272,0.0000326505,0.002571467,0.00001370341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952446,0.0009006272,0.002628132,0.00009329487,0.00002513887,0.00003781688,0.00005870447,0.00005178744,0.0009598333],"genre_scores_gemma":[0.9929086,0.0006887813,0.005094999,0.00005180424,0.00001252159,0.00001082807,0.0001140394,0.00001011667,0.001108295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003711203,"threshold_uncertainty_score":0.007379174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299291786062992,"score_gpt":0.2099942463257405,"score_spread":0.1970013284651106,"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."}}