{"id":"W4384788191","doi":"10.1039/d3ew00198a","title":"Total organic halogen (TOX) in treated wastewaters: an optimized method and comparison with target analysis","year":2023,"lang":"en","type":"article","venue":"Environmental Science Water Research & Technology","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Halogen; Wastewater; Chemistry; Chromatography; Environmental chemistry; Environmental science; Organic chemistry; Environmental engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00177545,0.0002367536,0.0003392445,0.001557151,0.0005396797,0.0001203619,0.0004962157,0.0001472044,0.00135192],"category_scores_gemma":[0.00001864881,0.0001536819,0.00003781185,0.004474983,0.002538206,0.0007356569,0.001002067,0.0003185356,0.0007208273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006714962,"about_ca_system_score_gemma":0.00001048794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009507515,"about_ca_topic_score_gemma":0.0003488568,"domain_scores_codex":[0.9963868,0.0002363816,0.0002655425,0.001077557,0.0008357558,0.001197925],"domain_scores_gemma":[0.9991937,0.00002843158,0.00003763325,0.0005042713,0.000006246691,0.0002296965],"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":[0.00006548617,0.000230644,0.5633156,0.000001401407,0.0000335416,0.00006945418,0.0008490234,0.009317651,0.4248257,0.000004881002,0.000009808933,0.001276763],"study_design_scores_gemma":[0.001298012,0.001047754,0.2628782,0.000005515703,0.00005805855,0.00004364223,0.002061546,0.02440522,0.706816,0.0009252786,0.0001115315,0.000349246],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980578,0.00001105701,0.0004233407,0.0005353707,0.00001624836,0.0004686645,0.000006272464,0.0001723227,0.000308921],"genre_scores_gemma":[0.996166,0.00001489127,0.003124291,0.000007799728,0.000006809099,0.0001020796,0.00008276405,0.00002001326,0.0004753541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3004374,"threshold_uncertainty_score":0.999561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239188967523468,"score_gpt":0.3171235029790438,"score_spread":0.2947316133038091,"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."}}