{"id":"W1967951369","doi":"10.1016/j.scitotenv.2008.02.031","title":"The occurrence of acidic drugs and caffeine in sewage effluents and receiving waters from three coastal watersheds in Atlantic Canada","year":2008,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":189,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Université de Moncton","funders":"","keywords":"Watershed; Sewage; Effluent; Naproxen; Caffeine; Environmental science; Environmental chemistry; Chemistry; Environmental engineering; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002513231,0.0002782489,0.0003862896,0.001838025,0.003691634,0.001976372,0.0007708685,0.000552106,0.000621537],"category_scores_gemma":[0.0008349693,0.0002811157,0.0003369967,0.0037032,0.001382013,0.0003542617,0.001298691,0.0004502372,0.00009332607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01257208,"about_ca_system_score_gemma":0.01573719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9759969,"about_ca_topic_score_gemma":0.9916472,"domain_scores_codex":[0.9994592,0.00003245347,0.0000411397,0.00008004125,0.0002492406,0.0001378965],"domain_scores_gemma":[0.9988041,0.0001092282,0.0001643868,0.00002089406,0.0006784201,0.0002229469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001480251,0.00005427372,0.9785039,0.00005486689,0.00005307435,0.0004801177,0.00616733,0.0002489349,0.007070262,0.0001494397,0.0002425065,0.006827182],"study_design_scores_gemma":[0.000005152853,0.00003227128,0.9863051,0.00001470001,0.00002890744,0.0001004209,0.01100732,0.0002952912,0.001014442,0.00003713966,0.001146468,0.00001265667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984562,0.00005932249,0.00005714811,0.00004463366,0.00000204365,0.00001393673,0.0003313394,0.000003680378,0.001031657],"genre_scores_gemma":[0.9978874,0.0001642306,0.0003125584,0.00005849763,0.000002480499,0.000009296139,0.0004147582,0.000004139446,0.001146667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02400315,"threshold_uncertainty_score":0.09121728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094249746819019,"score_gpt":0.2061870306189126,"score_spread":0.1952445331507224,"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."}}