{"id":"W2945414514","doi":"10.1016/j.envpol.2019.05.099","title":"Human pharmaceuticals in three major fish species from the Uruguay River (South America) with different feeding habits","year":2019,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agencia Estatal de Investigación; European Regional Development Fund; Generalitat de Catalunya; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Ministerio de Economía y Competitividad; Agencia Nacional de Promoción Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas; Canadian Institute for Advanced Research","keywords":"Atenolol; Omnivore; Trophic level; Biomagnification; Carbamazepine; Biology; Predatory fish; Ecology; Predation; Endocrinology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001309737,0.0002499655,0.0002423386,0.0006394117,0.0008952112,0.000488762,0.0001406701,0.000421761,0.001627209],"category_scores_gemma":[0.0003177211,0.0002552446,0.0002778227,0.0006799686,0.0005847555,0.0002139924,0.0005531193,0.0002517574,0.0001935805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006781426,"about_ca_system_score_gemma":0.0002925017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06959658,"about_ca_topic_score_gemma":0.1311248,"domain_scores_codex":[0.9998671,0.00002923843,0.000007734287,0.00003312857,0.00001948082,0.00004340741],"domain_scores_gemma":[0.999837,0.00002180189,0.00004669982,0.000007896138,0.00004777109,0.00003870628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006208369,0.0001276677,0.9834626,0.00002503729,0.00006324985,0.0003871901,0.003267049,0.00005807903,0.008365575,0.00007298317,0.00009369437,0.003456076],"study_design_scores_gemma":[0.000002612581,0.0001559352,0.9969637,0.000002388967,0.00001573204,0.0002001209,0.002072427,0.0000701234,0.0003053086,0.00001561235,0.0001923406,0.000003803187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997397,0.00002942681,0.00001484633,0.00000726175,4.80591e-7,0.000002888503,0.00004785421,4.552818e-7,0.0001571079],"genre_scores_gemma":[0.999176,0.00006486216,0.00005193106,0.00002136301,9.554874e-7,0.00000497154,0.0001124032,0.000001238656,0.0005662611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06959658,"threshold_uncertainty_score":0.138383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063530660879585,"score_gpt":0.2448467340053441,"score_spread":0.2242114273965483,"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."}}