{"id":"W2888086341","doi":"10.1016/j.trac.2018.08.004","title":"Analytical characterization of N-halogenated peptides produced by disinfection: Formation, degradation, and occurrence in water","year":2018,"lang":"en","type":"article","venue":"TrAC Trends in Analytical Chemistry","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Degradation (telecommunications); Characterization (materials science); Environmental chemistry; Chemistry; Environmental science; Materials science; Nanotechnology; 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":[0.0001407157,0.0001307777,0.0001583362,0.00006916269,0.00004099853,0.00002366996,0.00006034499,0.00008683597,0.001223305],"category_scores_gemma":[0.00002627535,0.0001018271,0.00002983874,0.0004729235,0.0002383702,0.0003460493,0.00003544529,0.00008541897,0.00002798729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093303,"about_ca_system_score_gemma":0.00000337606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000667695,"about_ca_topic_score_gemma":0.0000444519,"domain_scores_codex":[0.9989921,0.00002431848,0.0003366091,0.000286833,0.0001587742,0.0002013816],"domain_scores_gemma":[0.9997205,0.00001337334,0.00005128081,0.0001318964,0.00001742698,0.00006551771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005645935,0.0004125768,0.4886441,0.00002975917,0.000009660206,0.00000249022,0.0002635313,0.00001329644,0.5062308,0.00001261983,0.0004728421,0.003851817],"study_design_scores_gemma":[0.0005902707,0.00005771179,0.2944517,0.00001962831,0.00002723537,0.000007941467,0.00001701545,0.00920068,0.6951863,0.00006120008,0.0002160378,0.000164222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969971,0.00000278678,0.00009449439,0.0002661321,0.00001744852,0.00005079406,0.00001427042,0.00001986157,0.002537163],"genre_scores_gemma":[0.9989632,0.000006206657,0.00001705012,0.00001147553,0.00002101321,0.000007540618,0.0004346213,0.000004648428,0.0005342843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1941924,"threshold_uncertainty_score":0.9996897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160606111317049,"score_gpt":0.2457317417507852,"score_spread":0.2341256806376147,"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."}}