{"id":"W2948946374","doi":"10.1039/c9ew00257j","title":"Understanding the impacts of sodium silicate on water quality and iron oxide particles","year":2019,"lang":"en","type":"article","venue":"Environmental Science Water Research & Technology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Turbidity; Sodium silicate; Silicate; Iron oxide; Solubility; Sodium; Chemistry; Phosphorus; Wastewater; Inorganic chemistry; Environmental chemistry; Environmental science; Environmental engineering; Materials science; Metallurgy; Geology","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":[0.0002747133,0.0002138256,0.0001784288,0.0001595997,0.0001820376,0.0004564784,0.0002705532,0.0005426782,0.0008548766],"category_scores_gemma":[0.0003486032,0.0001721699,0.0002236193,0.00009573088,0.000304703,0.0006701197,0.0002634987,0.0003744169,0.0001665543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006967945,"about_ca_system_score_gemma":0.0007811062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009235922,"about_ca_topic_score_gemma":0.01147748,"domain_scores_codex":[0.9998561,0.00001612705,0.0000073899,0.00002292086,0.00006224289,0.00003519827],"domain_scores_gemma":[0.9998456,0.00004120101,0.00003181388,0.000006872673,0.00006128065,0.00001323917],"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":[0.0002107223,0.0001399736,0.02118087,0.0003836102,0.00006011848,0.0001856439,0.0001427058,0.007404488,0.9442303,0.002595288,0.0003750253,0.02309132],"study_design_scores_gemma":[0.00004309444,0.001030485,0.1297943,0.0000755437,0.0001274136,0.0002852819,0.001159532,0.06146075,0.7842265,0.009567883,0.01218558,0.00004368308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906302,0.001377671,0.003242332,0.000583437,0.00002717406,0.00002980152,0.0001127612,0.00001704328,0.00397956],"genre_scores_gemma":[0.9949469,0.001583337,0.001451436,0.000120395,0.00001038277,0.0000129642,0.00009166586,0.00000577296,0.00177712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009235922,"threshold_uncertainty_score":0.01836431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07484782832932656,"score_gpt":0.3287989190325473,"score_spread":0.2539510907032207,"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."}}