{"id":"W3109960101","doi":"10.1016/j.envpol.2020.116133","title":"Distribution of antibiotics in water, sediments and biofilm in an urban river (Córdoba, Argentina, LA)","year":2020,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fondo para la Investigación Científica y Tecnológica; European Regional Development Fund; Generalitat de Catalunya; International Atomic Energy Agency; European Commission; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades; Agencia Nacional de Promoción Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas; Centres de Recerca de Catalunya; Canadian Institute for Advanced Research","keywords":"Environmental chemistry; Bioaccumulation; Ciprofloxacin; Ofloxacin; Biofilm; Antibiotics; Sediment; Aquatic ecosystem; Point source pollution; Environmental science; Pollution; Chemistry; Biology; Microbiology; Ecology; Bacteria; Nonpoint source pollution","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":[0.0001309615,0.0002486823,0.0002860964,0.001090484,0.0008008875,0.0008461007,0.0002718426,0.0005777882,0.0008784445],"category_scores_gemma":[0.0002035513,0.0001637558,0.0001758752,0.00107376,0.0004588001,0.0002639666,0.0004886516,0.0002024506,0.0001855298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442185,"about_ca_system_score_gemma":0.00101197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1736094,"about_ca_topic_score_gemma":0.2347268,"domain_scores_codex":[0.9998266,0.00001548112,0.00001527282,0.00005962151,0.00004191818,0.0000410759],"domain_scores_gemma":[0.9998474,0.00001543156,0.00004582631,0.000003393007,0.00006032435,0.0000276447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005516191,0.0002762511,0.9183103,0.0001599821,0.00006603713,0.0007975252,0.002227406,0.0008892664,0.05434956,0.0003204792,0.0004782396,0.02157325],"study_design_scores_gemma":[0.000008415423,0.0001525789,0.9944616,0.00001459001,0.00002482905,0.0001755284,0.001505844,0.0006996026,0.001616839,0.00003463566,0.001296691,0.00000885796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980991,0.0001413228,0.00008729884,0.00003541639,0.000002504088,0.00001032712,0.0004970724,0.000005856393,0.001121116],"genre_scores_gemma":[0.9976252,0.0001778857,0.0003354946,0.00001608632,0.000003552685,0.00001387116,0.0003334932,0.000002393796,0.001492014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1736094,"threshold_uncertainty_score":0.3451977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753467655973259,"score_gpt":0.2418815943990441,"score_spread":0.2243469178393115,"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."}}