{"id":"W2906673440","doi":"10.1039/c8tx00267c","title":"Bacterial toxicity of biomimetic green zinc oxide nanoantibiotic: insights into ZnONP uptake and nanocolloid–bacteria interface","year":2018,"lang":"en","type":"article","venue":"Toxicology Research","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Population and Public Health; Council of Science and Technology, U.P.; King Saud University","keywords":"Zinc; Bacteria; Toxicity; Nanotechnology; Materials science; Chemistry; Biotechnology; Biology; Metallurgy; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001713212,0.0001961213,0.0004342879,0.000274857,0.0004284581,0.00009235593,0.0006449903,0.0002356835,0.001487569],"category_scores_gemma":[0.00034643,0.0001653485,0.00005066525,0.0005691283,0.002297935,0.0001964344,0.0006701464,0.0001759621,0.0006445946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008361409,"about_ca_system_score_gemma":0.0001827002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003288096,"about_ca_topic_score_gemma":0.0006544976,"domain_scores_codex":[0.9971671,0.0006130114,0.0005613662,0.0006378516,0.0003655185,0.0006551266],"domain_scores_gemma":[0.9981638,0.0004506113,0.0001453304,0.0006369343,0.0003747942,0.0002285949],"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":[0.0002265084,0.000255532,0.0003128297,0.00004298906,0.00001612515,0.000002651173,0.0006972373,1.377738e-7,0.9940055,0.001610877,0.0003448409,0.00248477],"study_design_scores_gemma":[0.0004704503,0.000680032,0.01324807,0.0000422534,0.00001445945,0.00001030602,0.000148555,0.00005644103,0.9784341,0.00159782,0.005135725,0.0001618119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976341,0.0001456534,0.00007647158,0.0006833199,0.0002225496,0.000678824,0.00002020405,0.0000522975,0.0004865624],"genre_scores_gemma":[0.9962288,0.00004074923,0.002874132,0.00004174835,0.0001867776,0.00005740793,0.000002736473,0.0000260059,0.0005416263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01557143,"threshold_uncertainty_score":0.9994252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05255212821660379,"score_gpt":0.3577147789462438,"score_spread":0.30516265072964,"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."}}