{"id":"W2252676691","doi":"10.1039/c5ew00285k","title":"Prediction of disinfection by-product formation in drinking water via fluorescence spectroscopy","year":2016,"lang":"en","type":"article","venue":"Environmental Science Water Research & Technology","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Fluorescence spectroscopy; Fluorescence; Spectroscopy; Environmental science; Environmental chemistry; Chemistry; Biochemical engineering; Engineering; Physics; Optics","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":["insufficient_payload"],"category_scores_codex":[0.001250639,0.0001687994,0.0001477744,0.000565277,0.0003731814,0.00003416749,0.0004514061,0.0001037715,0.0009593178],"category_scores_gemma":[0.00002463959,0.00009099161,0.00003468937,0.0006195449,0.002697357,0.001633367,0.0006870957,0.0002051105,0.0009643869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645251,"about_ca_system_score_gemma":0.000004775812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003319965,"about_ca_topic_score_gemma":0.00005198149,"domain_scores_codex":[0.9970212,0.00009389676,0.0003304137,0.0006755054,0.0009101038,0.0009688577],"domain_scores_gemma":[0.9994125,0.00001256507,0.00004457188,0.0004329417,0.000007771667,0.00008965898],"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":[0.0000180831,0.0001749668,0.1945974,0.000002326423,0.000001677355,0.000003866764,0.0002399432,0.00001645468,0.7948746,0.00000824662,0.00004801848,0.01001438],"study_design_scores_gemma":[0.0004228237,0.0003027842,0.043743,0.00001978863,0.000002799249,0.00003099751,0.0000575204,0.0001488314,0.9514598,0.003303125,0.0003965984,0.000111955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962347,0.00001136905,0.001580169,0.001009084,0.0001027855,0.0004726718,0.000005747362,0.00007321948,0.000510222],"genre_scores_gemma":[0.9994303,0.00004360881,0.0001945612,0.000004658719,0.00001848691,0.00007510361,0.00001814115,0.00001262309,0.0002025285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1565852,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455542868814579,"score_gpt":0.2527526151646435,"score_spread":0.2381971864764977,"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."}}