{"id":"W335373338","doi":"10.1016/j.watres.2015.04.013","title":"Direct UV photolysis of selected pharmaceuticals, personal care products and endocrine disruptors in aqueous solution","year":2015,"lang":"en","type":"article","venue":"Water Research","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":186,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trojan Technologies (Canada); Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aqueous solution; Photodissociation; Environmental impact of pharmaceuticals and personal care products; Chemistry; Personal care; Endocrine system; Endocrine disruptor; Environmental chemistry; Environmental science; Photochemistry; Organic chemistry; Medicine; Environmental engineering; Wastewater; Biochemistry; Hormone","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001414347,0.0002057373,0.0001512997,0.0001620032,0.0002245292,0.0002586239,0.0001868175,0.0003999233,0.002850014],"category_scores_gemma":[0.0002166256,0.0001329585,0.0001951558,0.0001648182,0.0001885292,0.0001875453,0.0001564687,0.0002670718,0.0003503738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003318492,"about_ca_system_score_gemma":0.0002612693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198697,"about_ca_topic_score_gemma":0.002292479,"domain_scores_codex":[0.9998558,0.0000141734,0.000007742745,0.00004188028,0.00004292986,0.00003749051],"domain_scores_gemma":[0.9998984,0.00004747997,0.0000163148,0.000007141096,0.00002393886,0.000006644969],"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":[0.0002908953,0.00001643652,0.0004231232,0.00007795895,0.00001122112,0.00005748524,0.00004157441,0.0002171489,0.9951496,0.0000660842,0.00006823534,0.003580338],"study_design_scores_gemma":[0.00001022387,0.0002048378,0.001774318,0.000004916446,0.00001065721,0.00005305252,0.00005685183,0.0002969559,0.997022,0.00003097703,0.000532467,0.000002697072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930133,0.00112808,0.001404176,0.00004791861,0.00001912742,0.00002191158,0.0001672825,0.00001364048,0.004184461],"genre_scores_gemma":[0.9923425,0.00120584,0.001116729,0.00003824295,0.000008111842,0.00001497162,0.0001145421,0.000005738646,0.005153274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002850014,"threshold_uncertainty_score":0.009534299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09265021879565102,"score_gpt":0.375394820434149,"score_spread":0.282744601638498,"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."}}