{"id":"W2121170077","doi":"10.1002/etc.716","title":"Effects of silver nanoparticles on bacterial activity in natural waters","year":2011,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Bacterioplankton; Aquatic ecosystem; Environmental chemistry; Context (archaeology); Biogeochemical cycle; Chemistry; Silver nanoparticle; Biology; Food science; Ecology; Nanoparticle; Nutrient; Phytoplankton; Nanotechnology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000539352,0.00007895398,0.0001130296,0.000007695972,0.0000359263,0.000003611662,0.00007221368,0.00006449303,0.0004786878],"category_scores_gemma":[0.000007670928,0.00006846807,0.00001933309,0.00001722763,0.0002201278,0.00004855122,0.00004851231,0.00005565299,0.00002522816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002559816,"about_ca_system_score_gemma":0.000003184081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004789204,"about_ca_topic_score_gemma":7.732268e-7,"domain_scores_codex":[0.9994965,0.00002794737,0.0001030608,0.0001778393,0.00005104318,0.0001436338],"domain_scores_gemma":[0.9997625,0.00005806661,0.00004488039,0.00009530015,6.64896e-7,0.00003863183],"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":[0.0001156266,0.000403645,0.002764321,0.00001966559,0.00000293781,0.00000387641,0.0001528521,4.446776e-7,0.9958788,0.00001315933,0.000006194192,0.0006384344],"study_design_scores_gemma":[0.0003126926,0.0000403982,0.111805,0.000008232544,0.000006790816,0.000002302705,0.00002982069,0.000003905422,0.8876429,0.00006132828,0.00002149988,0.00006505895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996473,0.00003468198,4.570988e-7,0.0000222484,0.00004722074,0.00007862775,0.000006383919,0.000008153823,0.000154968],"genre_scores_gemma":[0.9997861,0.00001466348,0.00007258936,0.00002388555,0.00001550038,0.00003112293,0.000001135587,0.000004731595,0.00005021956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090407,"threshold_uncertainty_score":0.5241296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006556096780902229,"score_gpt":0.1905006551755482,"score_spread":0.183944558394646,"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."}}