{"id":"W4408672216","doi":"10.1016/j.jwpe.2025.107517","title":"Insights on the degradation mechanism of COVID-19 antiviral drug chloroquine phosphate using UV/chloramine: Kinetic, mechanistic and toxicity evaluation","year":2025,"lang":"en","type":"article","venue":"Journal of Water Process Engineering","topic":"Phenothiazines and Benzothiazines Synthesis and Activities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Future Earth","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Chloroquine; Toxicity; Chemistry; Mechanism (biology); Coronavirus disease 2019 (COVID-19); Pharmacology; Antiviral drug; Drug; Degradation (telecommunications); Chloramine-T; Virology; Biochemistry; Medicine; Organic chemistry; Immunology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004059946,0.0001354986,0.0001922511,0.0001031102,0.0000714379,0.00003321543,0.0001173978,0.00005528205,0.000005451692],"category_scores_gemma":[0.0002061011,0.00007992554,0.00005499607,0.00007761054,0.00002352591,0.00001949637,0.00003915055,0.0000849314,1.367379e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002548943,"about_ca_system_score_gemma":0.00007804843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000767867,"about_ca_topic_score_gemma":0.000002306556,"domain_scores_codex":[0.9992356,0.00003439657,0.000288772,0.000123706,0.000200213,0.0001172835],"domain_scores_gemma":[0.9994909,0.00003255484,0.000153912,0.00009842476,0.0001860929,0.00003813228],"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":[0.00008482622,0.00004726665,0.00001895053,0.0001893306,0.00005912957,0.000001308092,0.0001842417,0.007593677,0.9901354,0.001302642,0.00001268727,0.0003705144],"study_design_scores_gemma":[0.0004144612,0.000107369,0.0000361669,0.0001162336,0.0000780864,0.00000921708,0.0001349258,0.02937823,0.9679842,0.001471224,0.0001746604,0.00009520021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968329,0.0005891115,0.03045314,0.0002762071,0.0001858157,0.0001237744,0.000003362979,0.000003788831,0.00003586352],"genre_scores_gemma":[0.9993877,0.00009764285,0.0002332758,0.0001099331,0.0001089391,0.00000462672,0.000005498062,0.00001082256,0.0000415858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03105874,"threshold_uncertainty_score":0.3259269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586218959297913,"score_gpt":0.2586169240156685,"score_spread":0.2427547344226894,"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."}}