{"id":"W2053874048","doi":"10.1016/j.scitotenv.2015.02.069","title":"Short-term spatial and temporal variability of disinfection by-product occurrence in small drinking water systems","year":2015,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Haloacetic acids; Disinfectant; Environmental science; Sampling (signal processing); Environmental chemistry; Water treatment; Chemistry; Environmental engineering; Computer 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":[0.001471215,0.0001164494,0.0001281412,0.0000236786,0.0001243495,0.00002605118,0.0002726729,0.0000235181,0.00002986432],"category_scores_gemma":[0.00002448914,0.0000574577,0.00003266844,0.0001309974,0.001289289,0.0002274077,0.0005065002,0.00007317024,0.00001214968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253581,"about_ca_system_score_gemma":0.000008839355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002657756,"about_ca_topic_score_gemma":0.00002449354,"domain_scores_codex":[0.9987142,0.0001203629,0.0002362172,0.0003140508,0.0003967953,0.0002183826],"domain_scores_gemma":[0.9994364,0.00001776821,0.00008116785,0.0004001197,0.000003929992,0.00006055598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002589522,0.0002568957,0.8006029,0.000009277977,0.000005096679,3.092385e-7,0.001318271,0.02745154,0.1682289,0.00001636754,0.0000163127,0.00206823],"study_design_scores_gemma":[0.0002914986,0.0001283844,0.8472326,0.00002120207,0.00002640322,0.0000126104,0.00008462017,0.003411374,0.1480715,0.0005640427,0.0000153266,0.0001404646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987394,0.00001954486,0.0001300942,0.0001051282,0.0002613998,0.0003693903,0.000004903879,0.000006053005,0.0003640534],"genre_scores_gemma":[0.9998673,0.00000430347,0.00002331558,0.000001220149,0.00001256962,0.00001180972,0.000002508063,0.000003160386,0.00007387192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0466297,"threshold_uncertainty_score":0.4750437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664877527571915,"score_gpt":0.2083131609468227,"score_spread":0.1916643856711036,"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."}}