{"id":"W2058680510","doi":"10.1016/j.watres.2013.03.033","title":"Spatio-temporal variability of non-regulated disinfection by-products within a drinking water distribution network","year":2013,"lang":"en","type":"article","venue":"Water Research","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesinstitut für Sportwissenschaft; Université Laval","keywords":"Haloacetic acids; Chemistry; Seasonality; Environmental chemistry; Environmental science; Atmospheric sciences; Environmental engineering; Water treatment; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003414719,0.0001000205,0.0001617857,0.0008087195,0.0002158642,0.0005813949,0.0002910946,0.0003023305,0.000749365],"category_scores_gemma":[0.0008651274,0.0001291742,0.0002703,0.0009831308,0.0003022495,0.0004269185,0.0003947967,0.0001772001,0.0001646985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007842536,"about_ca_system_score_gemma":0.0002544743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02715398,"about_ca_topic_score_gemma":0.04027148,"domain_scores_codex":[0.9997253,0.0000456736,0.00002254354,0.0001012135,0.00005396446,0.00005128286],"domain_scores_gemma":[0.9988227,0.000393919,0.0003860852,0.000065559,0.0002338219,0.0000977418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003718054,0.00007263186,0.9784561,0.00003239011,0.0001611009,0.0001682987,0.0005507913,0.004611504,0.009445791,0.0004034113,0.0003427238,0.005383466],"study_design_scores_gemma":[0.000002816615,0.00002601965,0.9935722,0.000003472335,0.00001832875,0.00005331971,0.0003006124,0.004980963,0.000523963,0.00005173007,0.0004605276,0.000006043294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986604,0.00004022281,0.0002237939,0.00002425782,0.000001798201,0.000003495377,0.000624166,0.00000908529,0.0004127492],"genre_scores_gemma":[0.99905,0.00002359556,0.000141845,0.0000039298,0.000002244972,0.000004469252,0.0005377805,0.000001823632,0.0002342588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02715398,"threshold_uncertainty_score":0.05399185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011797790321842,"score_gpt":0.2671844888373101,"score_spread":0.2470665109340917,"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."}}