{"id":"W2087150068","doi":"10.1021/es201196x","title":"Identifying New Persistent and Bioaccumulative Organics Among Chemicals in Commerce II: Pharmaceuticals","year":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"U.S. National Library of Medicine; U.S. Food and Drug Administration; U.S. Environmental Protection Agency","keywords":"Bioaccumulation; Food and drug administration; Drug; Environmental chemistry; Chemistry; Pharmacology; Medicine","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000415583,0.0003074357,0.0002767259,0.0002449287,0.000410667,0.0000304722,0.0007548645,0.0001811759,0.004224991],"category_scores_gemma":[0.00005459149,0.0002838057,0.00006194933,0.001046033,0.006414691,0.0007587034,0.002373084,0.0004581009,0.000401659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006144429,"about_ca_system_score_gemma":0.00001302283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001662154,"about_ca_topic_score_gemma":0.00001761831,"domain_scores_codex":[0.9973102,0.00003406489,0.0003703707,0.0008793362,0.0004908675,0.0009152208],"domain_scores_gemma":[0.998961,0.00002614901,0.000108043,0.0003560246,0.000001057682,0.0005476754],"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":[0.00001380083,0.0003369887,0.4348009,0.00000269204,0.00000836706,0.00002292918,0.001211385,0.00001363608,0.5534075,0.0001603184,0.00003957751,0.009981922],"study_design_scores_gemma":[0.0008461274,0.0002114497,0.4890309,0.00003167396,0.00003709269,0.00007351927,0.001553983,0.0009320487,0.503198,0.002262957,0.001314722,0.0005075542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936616,0.0002044625,0.0001000537,0.0007387693,0.00007367123,0.0003419642,0.000005162751,0.00007954804,0.004794782],"genre_scores_gemma":[0.9967235,0.0002603733,0.001961172,0.0005794197,0.0000111701,0.000005931522,0.000001963627,0.00002102754,0.0004354925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05423001,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05707741257361262,"score_gpt":0.3019521983137952,"score_spread":0.2448747857401825,"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."}}