{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001569229,0.0007563532,0.0003506983,0.0005422741,0.0007045114,0.0004983323,0.0006197214,0.0005502494,0.0007570819],"category_scores_gemma":[0.002646109,0.0003116743,0.0003745731,0.0005543446,0.0006538237,0.0003717207,0.0004027049,0.0004288496,0.0003341393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007722187,"about_ca_system_score_gemma":0.0009581142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005701505,"about_ca_topic_score_gemma":0.006814528,"domain_scores_codex":[0.9979423,0.0005175229,0.0001345769,0.0005255612,0.0007884917,0.00009159256],"domain_scores_gemma":[0.9986281,0.0003277062,0.0002589836,0.0001787859,0.0005454576,0.00006096624],"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":[0.0006838932,0.0008379331,0.03088482,0.0001656435,0.00005565914,0.00006544498,0.0004016423,0.001535897,0.939238,0.0002402619,0.0004473509,0.02544343],"study_design_scores_gemma":[0.0001215096,0.00714178,0.03599978,0.00002586892,0.0001299113,0.0003432137,0.00022846,0.006948947,0.9457155,0.0001949675,0.003114899,0.00003517697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673311,0.0001568626,0.02910207,0.00007462687,0.00003343373,0.0008166845,0.0007522011,0.0001899912,0.001542975],"genre_scores_gemma":[0.9187016,0.0004887069,0.07508443,0.0001303085,0.00004013594,0.00174409,0.001492746,0.00006535614,0.002252658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005701505,"threshold_uncertainty_score":0.01133662,"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."}}