{"id":"W4385418380","doi":"10.17159/wsa/2023.v49.i3.4004","title":"Monitoring seasonal variations of haloacetic acids (HAAS) in low-TOC and low-chlorine networks and assessing risk to public health: Muş, Türkiye case","year":2023,"lang":"en","type":"article","venue":"Water SA","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bitlis Eren Üniversitesi","keywords":"Haloacetic acids; Chlorine; Environmental science; Context (archaeology); Raw water; Health risk; Environmental chemistry; Groundwater; Public health; Natural organic matter; Detection limit; Surface water; Water treatment; Chemistry; Geography; Environmental engineering; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003506109,0.0001076073,0.0001292344,0.00008997482,0.0001768393,0.00009913334,0.00003826536,0.00004342193,0.00004295689],"category_scores_gemma":[0.00001388368,0.00008538456,0.00001809455,0.0002874086,0.00004083104,0.0003457186,0.000160732,0.00007929552,0.0000346778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108976,"about_ca_system_score_gemma":0.000006606063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00206685,"about_ca_topic_score_gemma":0.0004765935,"domain_scores_codex":[0.9990674,0.00006851538,0.0001762731,0.0002465342,0.0001218633,0.0003193953],"domain_scores_gemma":[0.9996552,0.00003422276,0.00003814524,0.0001155404,0.000005619463,0.0001512174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005825327,0.00005696969,0.9811146,0.00001732442,0.000008361843,0.00005761127,0.001715595,0.003333858,0.0006145708,0.000003502379,0.00002586442,0.01304587],"study_design_scores_gemma":[0.0004756222,0.00006363873,0.9889799,0.00004726199,0.00001026923,0.00004409288,0.0001542967,0.008829343,0.001114668,0.00009011506,0.00007746878,0.0001133216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981786,0.00003022243,0.0008029186,0.0004721809,0.0001998979,0.0001827688,0.000004637147,0.00004066568,0.00008812457],"genre_scores_gemma":[0.9994118,0.00006331396,0.0002800801,0.0000181437,0.00007633938,0.00002611163,0.00001402752,0.00001037191,0.00009987285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01293255,"threshold_uncertainty_score":0.3481881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288684013059468,"score_gpt":0.2613119145190363,"score_spread":0.2384250743884416,"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."}}