{"id":"W2997442758","doi":"10.2166/wqrj.2020.016","title":"Removal of trihalomethanes from high organic matter water sources using aeration: a feasibility study","year":2020,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Mitacs","keywords":"Trihalomethane; Aeration; Dissolved organic carbon; Chemistry; Chlorine; Water treatment; Chloroform; Organic matter; Environmental chemistry; Environmental science; Environmental engineering; Pulp and paper industry; Chromatography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002662617,0.0001600225,0.0002950818,0.00007101762,0.0004291309,0.0002390969,0.0002759054,0.00006811501,0.01949687],"category_scores_gemma":[0.00006319506,0.00008884657,0.0001248097,0.0001985718,0.0002165083,0.0005317602,0.0003603673,0.0003997163,0.001109251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414044,"about_ca_system_score_gemma":0.00001685271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003889029,"about_ca_topic_score_gemma":0.0001806198,"domain_scores_codex":[0.99535,0.002015917,0.0005712726,0.0003940409,0.001178393,0.0004903931],"domain_scores_gemma":[0.9992667,0.00007534493,0.0000700797,0.0002601438,0.00007788939,0.0002497693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003399706,0.0005011992,0.6013763,0.00001142962,0.00007007091,0.00009722139,0.01088899,0.00008822598,0.386378,4.874785e-7,0.0001394711,0.0001085967],"study_design_scores_gemma":[0.002770144,0.0008370465,0.3804553,0.00001576226,0.00006945544,0.0001035116,0.004054754,0.00008214653,0.6080153,0.003086845,0.0002349186,0.0002747827],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970067,0.00001737627,0.0002209815,0.002072131,0.00008335395,0.0003814912,0.0000105038,0.00001611067,0.0001913625],"genre_scores_gemma":[0.9989607,0.000002545458,0.0003636337,0.00008417219,0.0002636289,0.000004120253,0.00002177141,0.00001626488,0.0002831283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2216373,"threshold_uncertainty_score":0.9996685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2154898595569295,"score_gpt":0.3952991407124805,"score_spread":0.179809281155551,"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."}}