{"id":"W2025305982","doi":"10.1897/ieam_2009-050.1","title":"Environmental risk assessment of human pharmaceuticals in the European Union: A case study with the β-blocker atenolol","year":2009,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Atenolol; Risk assessment; Ecotoxicity; Bioaccumulation; Surface water; Environmental science; European union; Environmental chemistry; Pharmacology; Chemistry; Medicine; Environmental engineering; Internal medicine; Toxicity; Blood pressure","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002158071,0.0005124715,0.0003428711,0.00007718698,0.0005160578,0.0001046081,0.0005767265,0.00005187185,0.0006984141],"category_scores_gemma":[0.000001299323,0.0002776539,0.00009172592,0.0002702267,0.0008153588,0.0002928331,0.0004856228,0.0006660992,0.00003989362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003836327,"about_ca_system_score_gemma":0.000004112279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002789394,"about_ca_topic_score_gemma":0.0001101658,"domain_scores_codex":[0.9956893,0.001593564,0.0005620241,0.0007017183,0.0008789992,0.0005744069],"domain_scores_gemma":[0.9989061,0.00008333497,0.0002462692,0.0005854209,0.000001160218,0.0001776759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005028863,0.008559176,0.8385646,0.00001945036,0.0003047769,0.005583177,0.002015759,0.0006000542,0.0160403,0.0001530358,0.0006146932,0.1274947],"study_design_scores_gemma":[0.002455672,0.001609107,0.9694369,0.00002970935,0.0003671975,0.0003774854,0.02209723,0.0008261933,0.0002762838,0.00008349834,0.002034191,0.0004065073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799767,0.00005525372,0.0003425226,0.001183935,0.00003069278,0.002007842,0.00003273154,0.00002973865,0.01634063],"genre_scores_gemma":[0.9979039,0.0004450924,0.0005264068,0.0007826572,0.00002274445,0.00004832623,0.00002797711,0.00003052246,0.0002124147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1308723,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199581760551369,"score_gpt":0.3235507650563946,"score_spread":0.3015549474508809,"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."}}