{"id":"W2086086800","doi":"10.1002/ieam.77","title":"Environmental risk assessment for the serotonin re-uptake inhibitor fluoxetine: Case study using the European risk assessment framework","year":2010,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Guelph; Trent University; Environment and Climate Change Canada; University of Waterloo","funders":"U.S. Environmental Protection Agency","keywords":"Fluoxetine; Risk assessment; Serotonin; Serotonin reuptake inhibitor; Environmental science; Medicine; Internal medicine; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004292998,0.00106188,0.0006820854,0.001900187,0.0007757095,0.002281914,0.001148203,0.002461781,0.001332861],"category_scores_gemma":[0.004525611,0.0003319479,0.001413137,0.001706618,0.0006799864,0.001090836,0.001412316,0.0006974968,0.0002139834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002886906,"about_ca_system_score_gemma":0.001973873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02598958,"about_ca_topic_score_gemma":0.01535815,"domain_scores_codex":[0.996852,0.001581054,0.0001024085,0.0002636061,0.0008494608,0.0003515376],"domain_scores_gemma":[0.9973277,0.001615187,0.000268257,0.0001128701,0.0005937052,0.00008234801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000628099,0.0006731303,0.03055164,0.0005966269,0.0003801953,0.009890112,0.0005816856,0.8742881,0.007957201,0.01177803,0.003651,0.05902413],"study_design_scores_gemma":[0.0002247245,0.002943987,0.04579899,0.0005546183,0.0009193234,0.005026878,0.003508523,0.8699155,0.02330937,0.01741892,0.03005911,0.0003201303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.873062,0.003205491,0.0803196,0.001158067,0.00005693368,0.0008457217,0.002056179,0.0002962653,0.03899982],"genre_scores_gemma":[0.9533362,0.002221115,0.03940113,0.0002054563,0.00002569513,0.0002526131,0.000868308,0.00005062168,0.003639017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02598958,"threshold_uncertainty_score":0.05167663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007451821308547248,"score_gpt":0.2544855726448823,"score_spread":0.2470337513363351,"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."}}