{"id":"W4289544759","doi":"10.1002/etc.5451","title":"Predicting the Accumulation of Ionizable Pharmaceuticals and Personal Care Products in Aquatic and Terrestrial Organisms","year":2022,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASL Environmental Sciences (Canada)","funders":"Strategic Environmental Research and Development Program; UK Research and Innovation; Office of Research and Development; U.S. Environmental Protection Agency","keywords":"Environmental chemistry; Chemistry; Personal care; Aquatic environment; Biochemical engineering; Ecology; Biology","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":[0.0004783926,0.0005493868,0.000367998,0.0004090413,0.0002830949,0.001362397,0.0005128026,0.001110701,0.000726148],"category_scores_gemma":[0.00106404,0.000292086,0.0005776065,0.0004916729,0.0003647842,0.0009409743,0.000444977,0.0004287431,0.0002887903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388341,"about_ca_system_score_gemma":0.001581352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02718033,"about_ca_topic_score_gemma":0.01933306,"domain_scores_codex":[0.9998401,0.00003574074,0.00001154472,0.0000603345,0.00003126267,0.00002091312],"domain_scores_gemma":[0.9996036,0.0002203764,0.00006816624,0.00001477672,0.00006521394,0.00002797889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005607275,0.0000515038,0.01880181,0.0001290544,0.00005193038,0.00007095145,0.00002489151,0.956986,0.00600773,0.00103873,0.0004298083,0.01635151],"study_design_scores_gemma":[0.000006446701,0.00007842522,0.00433849,0.000009031893,0.00002144558,0.00003100622,0.00006164325,0.9902427,0.002434043,0.001996606,0.0007691806,0.00001105584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9184006,0.001352822,0.06816559,0.001147733,0.00004407147,0.0001032899,0.002122056,0.0002696154,0.008394128],"genre_scores_gemma":[0.9762639,0.001673232,0.01821489,0.0001165172,0.00001448336,0.00006685917,0.0009095462,0.000035484,0.00270512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02718033,"threshold_uncertainty_score":0.05404419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264148610104568,"score_gpt":0.2901768883913786,"score_spread":0.2575354022903329,"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."}}