{"id":"W3041428938","doi":"10.1007/s10661-020-08468-y","title":"Predicting unregulated disinfection by-products in small water distribution networks: an empirical modelling framework","year":2020,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Turbidity; Water quality; Environmental science; Natural organic matter; Trichloroacetic acid; Environmental chemistry; Total organic carbon; Water treatment; Chemistry; Environmental engineering; Ecology; Biology; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00240738,0.0009739543,0.000606564,0.00100267,0.0003739671,0.001628447,0.001689481,0.001830944,0.001007593],"category_scores_gemma":[0.006943122,0.0006295372,0.0008799693,0.001055104,0.001187098,0.002789642,0.0007804403,0.001124622,0.000128932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002427766,"about_ca_system_score_gemma":0.001078216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04452509,"about_ca_topic_score_gemma":0.02846916,"domain_scores_codex":[0.9994524,0.0002576775,0.00002249568,0.0001312204,0.00005631443,0.00007985604],"domain_scores_gemma":[0.9945173,0.004526863,0.0004886322,0.0001582406,0.000208492,0.0001003755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001785966,0.00004340653,0.003546886,0.000009108347,0.00001190763,0.00001961505,0.00001366541,0.9935912,0.0001829171,0.001128676,0.00005013979,0.001384621],"study_design_scores_gemma":[0.000001971554,0.00001254596,0.0005474603,0.000001350061,0.000003701653,0.000003216671,0.00001183858,0.9983495,0.0001018371,0.000933893,0.00003041784,0.000002309672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9095597,0.0002157104,0.08666531,0.0005616297,0.00001375783,0.00009857924,0.000506753,0.0001064501,0.002272069],"genre_scores_gemma":[0.993048,0.0001663566,0.005304086,0.00002081247,0.000008235816,0.00005132885,0.0002220787,0.00001205232,0.001167145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04452509,"threshold_uncertainty_score":0.08853185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349166624272972,"score_gpt":0.2529828848240403,"score_spread":0.2294912185813106,"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."}}