{"id":"W4245077213","doi":"10.32920/ryerson.14644131","title":"Photochemical degradation of benzene, toluene, ethylbenzene, and xylenes (BTEX) using UV/H₂0₂","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"BTEX; Ethylbenzene; Benzene; Toluene; Chemistry; Environmental chemistry; Xylene; Degradation (telecommunications); Photochemistry; Organic chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003143745,0.0002740381,0.0004718824,0.00006501268,0.00007940485,0.00009453968,0.0002577145,0.0003063411,0.0005354703],"category_scores_gemma":[0.00005516254,0.0002561838,0.0001758954,0.0001850751,0.0001399931,0.0001214945,0.001195104,0.0002846399,0.000006694928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311327,"about_ca_system_score_gemma":0.00002992637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060093,"about_ca_topic_score_gemma":0.00009706004,"domain_scores_codex":[0.9980065,0.0001201758,0.0004917974,0.0006752038,0.0004657898,0.0002405141],"domain_scores_gemma":[0.9990574,0.00006318063,0.0002233163,0.0005048417,0.00002983678,0.0001214642],"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":[0.00001409056,0.0001716028,0.1157176,0.0002605061,0.0001617483,0.000008030095,0.0005440058,0.008779828,0.8714783,0.00002642924,0.0001761204,0.002661778],"study_design_scores_gemma":[0.0001802726,0.00001667874,0.01463921,0.0001955553,0.0002211111,0.000006484813,0.0004210219,0.008258042,0.9751154,0.0003518741,0.0001150538,0.0004793528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969951,0.0001682125,0.001670215,0.000115017,0.0001631577,0.0001287394,0.00001285104,0.00003627973,0.0007104633],"genre_scores_gemma":[0.9792216,0.0001121806,0.01975305,0.00003691585,0.00008019536,0.00001141517,0.00006660136,0.00002179672,0.0006962567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1036371,"threshold_uncertainty_score":0.999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04252390473214062,"score_gpt":0.2855091401276227,"score_spread":0.2429852353954821,"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."}}