{"id":"W2185306223","doi":"10.5942/jawwa.2016.108.0050","title":"Enhancement of UV/H<sub>2</sub>O<sub>2</sub> Efficacy Using Strong Base Anion Exchange Resins","year":2015,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Chemical Synthesis and Characterization","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trojan Technologies (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogen peroxide; Chemistry; Ultraviolet; Dissolved organic carbon; Ion exchange; Sulfate; Base (topology); Nitrate; Water treatment; Ion; Nuclear chemistry; Ion-exchange resin; Inorganic chemistry; Environmental chemistry; Materials science; Organic chemistry; Environmental engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0005811261,0.0002173872,0.0003219655,0.00005515815,0.0001080576,0.00006243053,0.000156835,0.0001144108,0.00008954004],"category_scores_gemma":[0.0001197212,0.0001916661,0.00009814271,0.0003858934,0.0001054588,0.0003837316,0.0001669769,0.0001479775,0.0001309391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493199,"about_ca_system_score_gemma":0.00001554867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002477892,"about_ca_topic_score_gemma":0.00005228471,"domain_scores_codex":[0.9978,0.00018436,0.0004378739,0.0004061161,0.0006917701,0.0004798782],"domain_scores_gemma":[0.9988842,0.00008062424,0.000568449,0.0002491285,0.00004925009,0.0001683371],"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":[0.00004330467,0.0001883596,0.01973336,0.000005699717,0.00002393893,9.236829e-7,0.0007470456,0.0003162503,0.9308103,9.663348e-7,0.0003731317,0.04775677],"study_design_scores_gemma":[0.0003931981,0.00008855253,0.03340609,0.00005624233,0.00005012313,4.881679e-7,0.0001624627,0.001428733,0.9638571,0.000022468,0.0002849999,0.0002494972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961557,0.00001439061,0.002845705,0.0003441496,0.0001454244,0.0002532806,0.00001273528,0.00004236889,0.0001862112],"genre_scores_gemma":[0.9990991,0.00008497685,0.0002981784,0.000142124,0.0001558897,0.00001821703,0.0001450616,0.00003266664,0.00002382655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04750727,"threshold_uncertainty_score":0.7815917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527180618938781,"score_gpt":0.2233688592657618,"score_spread":0.208097053076374,"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."}}