{"id":"W2024158713","doi":"10.1016/j.scitotenv.2014.06.093","title":"Effects of flow intermittency and pharmaceutical exposure on the structure and metabolism of stream biofilms","year":2014,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad; European Regional Development Fund; Translation Centre for the Bodies of the European Union; European Commission; Canadian Institute for Advanced Research","keywords":"Algae; Biofilm; Bioaccumulation; Temperature gradient gel electrophoresis; Biology; Environmental chemistry; Biomass (ecology); Mesocosm; Intermittency; Community structure; Ecology; Ecosystem; Bacteria; Chemistry; 16S ribosomal RNA","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":[0.0004002475,0.0002086568,0.000426928,0.0002617982,0.0003557805,0.0009770422,0.000220265,0.0006517032,0.00155089],"category_scores_gemma":[0.0009877157,0.0002433825,0.0004589054,0.000210099,0.0005751487,0.0004899393,0.0004911253,0.0005787837,0.00009164069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007489998,"about_ca_system_score_gemma":0.0006486186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004308905,"about_ca_topic_score_gemma":0.003635764,"domain_scores_codex":[0.9995814,0.0001198268,0.00004053742,0.00007170632,0.00008424071,0.0001022738],"domain_scores_gemma":[0.9993687,0.0003217337,0.0001246494,0.00003034682,0.00007765392,0.0000769733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005973909,0.0005544553,0.02792851,0.0001664421,0.00009930546,0.000248774,0.0003091172,0.002039182,0.951076,0.0004398952,0.000278853,0.01088554],"study_design_scores_gemma":[0.000266327,0.007214083,0.5261227,0.00003712832,0.0002087539,0.0003047731,0.001271249,0.0167931,0.4446526,0.001055026,0.001975561,0.00009876019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992292,0.0001980571,0.0001336573,0.000076062,0.00001034318,0.00000711299,0.00008031511,0.000003195341,0.0002620982],"genre_scores_gemma":[0.9992939,0.0001437888,0.0001973941,0.00004536021,0.00001372296,0.000007522006,0.00006882451,0.000002173927,0.0002273368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004308905,"threshold_uncertainty_score":0.008567631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00860344353959254,"score_gpt":0.2321356105454936,"score_spread":0.2235321670059011,"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."}}