{"id":"W246017335","doi":"10.1021/es4044648","title":"Sewage-Based Drug Epidemiology","year":2014,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sewage; Epidemiology; Environmental science; Drug; Environmental health; Environmental planning; Environmental engineering; Medicine; Pharmacology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002560911,0.0005082815,0.0007860148,0.004225616,0.001042637,0.002236765,0.0006772039,0.001101871,0.00423766],"category_scores_gemma":[0.004103426,0.0003052791,0.0004521984,0.003881828,0.001417857,0.00123371,0.002064106,0.0006017585,0.001229441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329396,"about_ca_system_score_gemma":0.002598098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008737876,"about_ca_topic_score_gemma":0.01170344,"domain_scores_codex":[0.9954422,0.001936052,0.0003103282,0.0008174749,0.001137262,0.0003566991],"domain_scores_gemma":[0.9949198,0.001116283,0.001277682,0.0004244958,0.001822686,0.0004389758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003842843,0.0003167111,0.6946586,0.00200489,0.0002079,0.0007807786,0.002069427,0.002174066,0.01984448,0.01706148,0.01403176,0.2464656],"study_design_scores_gemma":[0.000124482,0.002610237,0.6645995,0.001763105,0.0003916511,0.004747748,0.009039279,0.01141116,0.03077408,0.03830287,0.2360272,0.0002086063],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7473761,0.01719734,0.09895352,0.01047296,0.001528385,0.001189445,0.01176496,0.0008125035,0.1107047],"genre_scores_gemma":[0.9401426,0.009664865,0.02915156,0.002089248,0.0003367855,0.0001596591,0.004452092,0.00007960833,0.01392371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008737876,"threshold_uncertainty_score":0.01737398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722502087854861,"score_gpt":0.2627718294232418,"score_spread":0.2355468085446932,"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."}}