{"id":"W1988649901","doi":"10.1007/s00216-009-3225-7","title":"The challenge of analyzing beta-blocker drugs in sludge and wastewater","year":2009,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Wastewater; BETA (programming language); Environmental chemistry; Environmental science; Waste management; Chemistry; Engineering; 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":[0.006268922,0.0006940012,0.001836346,0.0009802711,0.001435008,0.005216341,0.001808187,0.004908267,0.00233876],"category_scores_gemma":[0.008281026,0.000595895,0.0008379726,0.0006241968,0.002158775,0.003261164,0.001926589,0.002822797,0.003214902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437977,"about_ca_system_score_gemma":0.004296819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002363305,"about_ca_topic_score_gemma":0.003834426,"domain_scores_codex":[0.9954649,0.00139406,0.0002430042,0.0006369036,0.002018057,0.0002431011],"domain_scores_gemma":[0.992423,0.003483441,0.0005936874,0.0003723449,0.002733706,0.0003939082],"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":[0.0007650504,0.0004470231,0.01380176,0.002564778,0.0003150426,0.0008571857,0.0007431576,0.008512754,0.5741607,0.01045272,0.0260702,0.3613097],"study_design_scores_gemma":[0.0001975445,0.002014718,0.01659705,0.0007358668,0.000450048,0.007937977,0.009814539,0.03844551,0.5038779,0.1108678,0.3086995,0.0003616638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.401439,0.08750728,0.2108138,0.2565516,0.005788812,0.0003845531,0.003452637,0.001146711,0.0329157],"genre_scores_gemma":[0.6983161,0.07369801,0.1751333,0.02276119,0.004756559,0.0005737175,0.001479817,0.0004573106,0.02282406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006268922,"threshold_uncertainty_score":0.03315359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454269967968792,"score_gpt":0.2587562495391328,"score_spread":0.2442135498594449,"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."}}