{"id":"W4386101449","doi":"10.1016/j.envres.2023.116960","title":"Degradation of enrofloxacin by a novel Fe–N–C@ZnO material in freshwater and seawater: Performance and mechanism","year":2023,"lang":"en","type":"article","venue":"Environmental Research","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Zhejiang Province Public Welfare Technology Application Research Project; National Natural Science Foundation of China","keywords":"Seawater; Degradation (telecommunications); Quenching (fluorescence); Nuclear chemistry; Enrofloxacin; Photocatalysis; Hydrothermal circulation; Zinc; Reaction rate constant; Chemistry; Artificial seawater; Materials science; Chemical engineering; Fluorescence; Kinetics; Metallurgy; Organic chemistry; Catalysis","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":[0.0005482307,0.0001099755,0.0001484411,0.0002377517,0.00007337146,0.00002122777,0.0001178588,0.00008288948,0.0001614879],"category_scores_gemma":[0.0000141589,0.0001025589,0.00001341944,0.0001771738,0.0001995415,0.0002050061,0.0003359009,0.0001628082,0.00003306633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009281496,"about_ca_system_score_gemma":0.000004977366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006550957,"about_ca_topic_score_gemma":0.0001988657,"domain_scores_codex":[0.9987206,0.00007310841,0.0002016014,0.0002972754,0.0003843239,0.0003230563],"domain_scores_gemma":[0.9996542,0.00005556237,0.00002983411,0.0001959157,0.000004275086,0.00006017569],"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":[0.00007472694,0.00005266682,0.004029392,0.00002524957,0.000006456314,0.000003283081,0.000219896,0.000009910526,0.9886397,0.0001873861,0.00009029133,0.006661104],"study_design_scores_gemma":[0.0003957933,0.0001265266,0.005953019,0.00002087588,0.000002156434,0.000003006882,0.0001921016,0.001677749,0.9880489,0.001500852,0.001974498,0.0001044852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993209,0.00002666792,0.00005837081,0.00004606028,0.00001417052,0.0002773342,0.00006344143,0.00003499076,0.000158017],"genre_scores_gemma":[0.9966298,0.0006211625,0.0007905443,0.000008047759,0.00001191923,0.0001193793,0.0002402773,0.00002658142,0.001552327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006556618,"threshold_uncertainty_score":0.4182231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534625584007272,"score_gpt":0.2956835149437991,"score_spread":0.2703372591037264,"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."}}