{"id":"W2415680866","doi":"10.2175/106143015x14212658614199","title":"Occurrence of Pharmaceuticals in Calgary's Wastewater and Related Surface Water","year":2015,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wastewater; Surface water; Environmental science; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001485236,0.0002529462,0.0003541803,0.001450115,0.0005965855,0.001091063,0.0002612045,0.0005347321,0.0007553563],"category_scores_gemma":[0.0002866958,0.0001478159,0.0002103389,0.002299956,0.0004846453,0.0002021292,0.0003905151,0.0002977401,0.0002415318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481657,"about_ca_system_score_gemma":0.001080111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1096851,"about_ca_topic_score_gemma":0.1709568,"domain_scores_codex":[0.9996089,0.0000252388,0.00002953271,0.0000787108,0.0001686606,0.00008898898],"domain_scores_gemma":[0.999811,0.00003057331,0.00005832206,0.000006828584,0.00007227346,0.00002108174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003871151,0.0001722165,0.6315804,0.0005056168,0.0001284521,0.002440897,0.002162601,0.001347833,0.2805117,0.0002522741,0.0008673523,0.07964361],"study_design_scores_gemma":[0.00001028591,0.0004918232,0.9644758,0.00003587997,0.0000560391,0.0005411782,0.002111829,0.000411849,0.02932808,0.00006848541,0.00244358,0.00002522125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974654,0.0002845462,0.0001184407,0.00003203062,0.00000444704,0.00001725451,0.0004262787,0.000008350152,0.001643261],"genre_scores_gemma":[0.9960995,0.0006667123,0.0004320547,0.0001208085,0.000005689245,0.00001804999,0.0008193314,0.000004095856,0.00183379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8903149,"threshold_uncertainty_score":0.2180934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1057668237966097,"score_gpt":0.3650089240142416,"score_spread":0.2592421002176318,"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."}}