{"id":"W2074188548","doi":"10.1016/j.aquatox.2015.02.012","title":"Resilience and recovery: The effect of triclosan exposure timing during development, on the structure and function of river biofilm communities","year":2015,"lang":"en","type":"article","venue":"Aquatic Toxicology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; University of Regina; Agriculture and Agri-Food Canada; Environment and Climate Change Canada","funders":"Health Canada; Environment Canada; Global Institute for Water Security, University of Saskatchewan","keywords":"Biofilm; Triclosan; Temperature gradient gel electrophoresis; Biomass (ecology); Biology; Ecotoxicology; Microbial population biology; Food science; Biomonitoring; Environmental chemistry; Microorganism; Microbiology; Bacteria; Animal science; Chemistry; Toxicology; Ecology; 16S ribosomal RNA; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000368274,0.0001980847,0.0002917559,0.0002537479,0.0003013237,0.0007648006,0.0003062702,0.0004099204,0.001348832],"category_scores_gemma":[0.001176624,0.0002224859,0.0003241295,0.0001749943,0.0004901409,0.0007000747,0.0007863738,0.0004853205,0.0001209579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005987966,"about_ca_system_score_gemma":0.0006666283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004728331,"about_ca_topic_score_gemma":0.006855193,"domain_scores_codex":[0.9997401,0.00004530362,0.00002041023,0.00007386243,0.00004257473,0.00007785759],"domain_scores_gemma":[0.9994338,0.0001432945,0.0001549983,0.00005236365,0.00007714514,0.0001383109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001332386,0.0001845686,0.03779796,0.00007965331,0.00007276375,0.0001629022,0.0004262117,0.0008348383,0.9498026,0.0003649393,0.000160981,0.008780061],"study_design_scores_gemma":[0.00002981653,0.001674436,0.8711812,0.00002981093,0.0001133118,0.0003246581,0.001753833,0.004563931,0.1183259,0.0006695205,0.001288182,0.00004532746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998924,0.0001858336,0.0003079996,0.00008278747,0.000003440105,0.000005318418,0.0001284654,0.000005117194,0.0003571264],"genre_scores_gemma":[0.9994057,0.0000708182,0.0001370914,0.00002443635,0.000001556559,0.000005519586,0.00007096504,0.000002774517,0.0002811892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004728331,"threshold_uncertainty_score":0.009401619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962497428030842,"score_gpt":0.2564441870114095,"score_spread":0.2268192127311011,"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."}}