{"id":"W3047373209","doi":"10.1002/adfm.202004503","title":"Multifunctional and Stimuli‐Responsive Polydopamine Nanoparticle‐Based Platform for Targeted Antimicrobial Applications","year":2020,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Connaught Fund; Ontario Ministry of Research, Innovation and Science; University of Toronto; Alexander von Humboldt-Stiftung","keywords":"Photothermal therapy; Antimicrobial; Nanotechnology; Materials science; Nanomedicine; Biocompatibility; Nanomaterials; Nanoparticle; Drug; Photothermal effect; Escherichia coli; Biophysics; Chemistry; Microbiology; Biology; Pharmacology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008771347,0.0002218225,0.0003085649,0.0000566989,0.0003784736,0.00003783053,0.00008101846,0.0001345339,0.0008275707],"category_scores_gemma":[0.0001205796,0.00021098,0.00007105716,0.00009474451,0.0002140463,0.0002364305,0.00005368121,0.00009039079,0.0001654761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000254272,"about_ca_system_score_gemma":0.00007302985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001018333,"about_ca_topic_score_gemma":0.000001949341,"domain_scores_codex":[0.9988774,0.0000386437,0.0003289737,0.0004076874,0.00003822497,0.0003090359],"domain_scores_gemma":[0.9992383,0.0003137429,0.0001494285,0.0001114208,0.0001370778,0.00005005538],"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":[0.003289902,0.00007641084,0.00004001512,0.00005591242,0.00007740734,7.030599e-7,0.0000344368,0.0005101415,0.9902315,0.001629022,0.002960781,0.001093756],"study_design_scores_gemma":[0.002857517,0.0002676794,0.001104625,0.00001653914,0.00004843467,0.00001760513,0.00008109424,0.00003682555,0.9682768,0.0001830482,0.02686102,0.000248816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629248,0.0002501626,0.03035163,0.00225598,0.000858792,0.001043724,0.002100569,0.0001828505,0.00003142402],"genre_scores_gemma":[0.9922042,0.00001245972,0.00303915,0.002445001,0.0002204636,0.0002559283,0.001374185,0.00003077291,0.0004178683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0292793,"threshold_uncertainty_score":0.9061319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0246139810317487,"score_gpt":0.243164255343733,"score_spread":0.2185502743119843,"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."}}