{"id":"W2318544927","doi":"10.2166/ws.2014.088","title":"Evaluation of approaches for consumers to eliminate chlorine off-flavors from drinking water at point-of-use","year":2014,"lang":"en","type":"article","venue":"Water Science & Technology Water Supply","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Chlorine; Chloramine; Chemistry; Water treatment; Hydrogen peroxide; Environmental chemistry; Ascorbic acid; Ozone; Environmental science; Environmental engineering; Organic chemistry; Food science","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":[0.002010123,0.0002641147,0.0003173562,0.0005304481,0.0003066277,0.00004932601,0.0006231683,0.0001570423,0.0004311796],"category_scores_gemma":[0.00006262678,0.0001464791,0.00008721959,0.0003355068,0.001254651,0.0007376649,0.0008704138,0.00008154812,0.0003387359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003200206,"about_ca_system_score_gemma":0.00001118731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005907536,"about_ca_topic_score_gemma":0.0003309527,"domain_scores_codex":[0.9971461,0.00006662257,0.0004313449,0.0007971442,0.0007769373,0.0007818826],"domain_scores_gemma":[0.9990269,0.00002528079,0.00007432431,0.000654816,0.0001141252,0.0001045378],"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":[0.00006441226,0.0001029576,0.2116714,0.000006866988,0.00002161891,6.504652e-7,0.002848621,0.001041249,0.7685065,0.00005381402,0.00002905653,0.01565284],"study_design_scores_gemma":[0.00085733,0.000317529,0.01162713,0.0000159271,0.0001328759,0.000004954125,0.00009528525,0.003515346,0.9758262,0.005603156,0.001767538,0.0002367212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956857,0.000006169823,0.001086843,0.001537357,0.0002807462,0.0008479614,0.000008972456,0.00009631931,0.0004499535],"genre_scores_gemma":[0.9966378,0.000001770392,0.00271339,0.0000393074,0.00001486134,0.000199513,0.00007772122,0.00002083689,0.0002947794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2073197,"threshold_uncertainty_score":0.5973246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298244716449277,"score_gpt":0.237301745455995,"score_spread":0.2074772738110673,"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."}}