{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00259657,0.0001018881,0.0001088296,0.0001500767,0.0004318117,0.00003544948,0.000479252,0.00007040662,0.0008326287],"category_scores_gemma":[0.000043346,0.00005331243,0.00002297533,0.0002400613,0.00450782,0.000282953,0.0009578005,0.000255869,0.0008743489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005745775,"about_ca_system_score_gemma":0.000007407231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001181566,"about_ca_topic_score_gemma":0.00003158156,"domain_scores_codex":[0.9977689,0.0001184355,0.0002105538,0.0004329237,0.0008233717,0.000645751],"domain_scores_gemma":[0.9993889,0.00004842105,0.00003823833,0.0004246366,0.000003854325,0.00009597625],"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":[0.00001763748,0.00004681921,0.0525547,0.000003163671,0.000001696886,0.000001204337,0.000969879,0.00002489182,0.9432067,0.001240234,0.00001239038,0.00192063],"study_design_scores_gemma":[0.000241474,0.0001809948,0.1007866,0.000005902777,0.000001750715,0.000006376466,0.002779792,0.0002802132,0.8882446,0.006939263,0.0004449992,0.00008801898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992308,0.000007331475,0.00004741286,0.005849579,0.00002462143,0.0003897209,0.0000020086,0.00002486327,0.001346527],"genre_scores_gemma":[0.9994733,0.00001889422,0.00004005003,0.00009157434,0.000003494099,0.00001814331,0.000002083921,0.000007047634,0.0003453623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05496216,"threshold_uncertainty_score":0.9999036,"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."}}