{"id":"W2143851811","doi":"10.1897/07-238.1","title":"Laboratory calibration and field deployment of the Polar organic chemical integrative sampler for pharmaceuticals and personal care products in wastewater and surface water","year":2007,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental impact of pharmaceuticals and personal care products; Wastewater; Effluent; Environmental chemistry; Environmental science; Surface water; Chemistry; Sampling (signal processing); Aquatic environment; Analyte; Sewage treatment; Calibration; Partition coefficient; Environmental engineering; Chromatography; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001437778,0.0001512537,0.0001420886,0.000005393373,0.00007857654,0.000008540726,0.00005337041,0.000127854,0.0003053745],"category_scores_gemma":[0.00001784976,0.00009779923,0.00001478916,0.00002624601,0.0007163187,0.00009162996,0.0002651221,0.0001732084,8.927266e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007240311,"about_ca_system_score_gemma":0.000003410954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000665847,"about_ca_topic_score_gemma":0.00000568224,"domain_scores_codex":[0.9991617,0.00002678493,0.0001630871,0.0003079988,0.00009521483,0.0002452441],"domain_scores_gemma":[0.9997041,0.00007684982,0.00003266572,0.00006806793,9.611975e-7,0.0001173606],"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":[0.00007025896,0.00007656438,0.1170355,0.00005642129,0.000009108329,0.00000199395,0.001128349,7.007762e-7,0.881066,0.000001186891,0.00001890623,0.0005350395],"study_design_scores_gemma":[0.0006396091,0.00005832459,0.02014167,0.00001413795,0.00002464807,0.00002157158,0.0009827267,0.00007929082,0.977522,0.00003350052,0.0003579938,0.0001245449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983835,0.0005432644,0.00001268499,0.000713245,0.00002029564,0.0002398223,0.00003534469,0.000004044177,0.00004775801],"genre_scores_gemma":[0.9990872,0.0001433473,0.000198749,0.0004467204,0.000017031,0.000003100286,0.00001079165,0.000009465909,0.00008363967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09689378,"threshold_uncertainty_score":0.3988137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069504262817591,"score_gpt":0.2515389078993299,"score_spread":0.240843865271154,"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."}}