{"id":"W4415263462","doi":"10.1039/d5ew00636h","title":"From prescription to pollution: environmental behavior and breakdown of fluoxetine","year":2025,"lang":"en","type":"article","venue":"Environmental Science Water Research & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fluoxetine; Medical prescription; Aquatic environment; Antidepressant","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":[0.0001069826,0.0000969214,0.0001036093,0.0002480623,0.0004393941,0.0006030225,0.0001778714,0.0004637935,0.005488975],"category_scores_gemma":[0.0004388025,0.000110054,0.000187381,0.0003578936,0.000260206,0.000407034,0.0002652783,0.0003982127,0.0005963586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007737148,"about_ca_system_score_gemma":0.0007935748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01815553,"about_ca_topic_score_gemma":0.03334298,"domain_scores_codex":[0.9999096,0.00002001467,0.000005698668,0.0000198139,0.00002552666,0.00001932965],"domain_scores_gemma":[0.999862,0.00003421843,0.00004314676,0.000006719687,0.00003551333,0.00001841761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003238139,0.0005759232,0.2241084,0.001127877,0.0001933168,0.002331749,0.004978721,0.002195547,0.2200175,0.0327401,0.04625007,0.4622428],"study_design_scores_gemma":[0.00004134191,0.001032396,0.8133215,0.0003713919,0.0001215418,0.003816571,0.007764846,0.004104159,0.03541876,0.00926579,0.1246565,0.00008521469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8913409,0.0138026,0.005071831,0.009381467,0.0001404152,0.0001462543,0.004829996,0.000298526,0.07498807],"genre_scores_gemma":[0.9670632,0.01088752,0.004181435,0.002392061,0.0000370473,0.00006902935,0.001263184,0.00003958401,0.01406706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01815553,"threshold_uncertainty_score":0.03609967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206062004475011,"score_gpt":0.3295842119265468,"score_spread":0.3075235918817967,"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."}}