{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001704374,0.0001856209,0.000188603,0.00002936983,0.00004501448,0.00001246754,0.0001239306,0.0001029798,0.0004172654],"category_scores_gemma":[0.000008207302,0.0001647943,0.00003563562,0.0001198072,0.0005559034,0.0004511533,0.0002575267,0.0001713808,0.0001566135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002055964,"about_ca_system_score_gemma":0.000001913517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009270672,"about_ca_topic_score_gemma":0.00000843328,"domain_scores_codex":[0.9985679,0.0001174518,0.0003094284,0.0003814001,0.0002658195,0.0003580466],"domain_scores_gemma":[0.9995764,0.000009958934,0.00005923563,0.0001166337,3.024253e-7,0.0002374059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004548199,0.0003966877,0.5543942,0.00001010989,0.000003071315,0.00001412688,0.0004720981,0.0003874993,0.4428916,0.0000179637,0.00003534619,0.001331777],"study_design_scores_gemma":[0.0009041563,0.0001559547,0.808575,0.00001574883,0.00001057891,0.000004034424,0.0001250469,0.002739877,0.1865706,0.00006675458,0.0006568416,0.0001753693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988868,0.0000493405,0.00007414674,0.0003727464,0.00003432682,0.0002235523,0.00009003874,0.00001278633,0.0002562232],"genre_scores_gemma":[0.9992278,0.0001393383,0.0001241776,0.0002998322,0.00001876051,4.185018e-7,0.0001469735,0.00001385268,0.00002881259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.256321,"threshold_uncertainty_score":0.6720118,"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."}}