{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009836346,0.0002734024,0.0001066833,0.0001379588,0.00009885676,0.0002478155,0.0001835532,0.0003744742,0.0007396484],"category_scores_gemma":[0.00008950027,0.0001131944,0.0001332902,0.00007385715,0.0001565814,0.0002147935,0.0002023886,0.00030614,0.0002825174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991062,"about_ca_system_score_gemma":0.0001409433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001350592,"about_ca_topic_score_gemma":0.0002391985,"domain_scores_codex":[0.9999527,0.000005818978,0.000003337653,0.00001268759,0.00001492084,0.0000105714],"domain_scores_gemma":[0.9999564,0.000007703395,0.00001325575,0.000004412775,0.000009099265,0.000009241325],"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":[0.00001195419,0.000009222758,0.00001903372,0.00002818915,0.000001721561,0.00002166781,0.000003765997,0.0001206596,0.9984786,0.0001423548,0.00003226312,0.001130597],"study_design_scores_gemma":[0.000006231965,0.0001114185,0.0002443148,0.000003925282,0.000004935389,0.00007023334,0.00000638688,0.002226141,0.994649,0.00005588708,0.002617043,0.000004421839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442872,0.004810296,0.04394701,0.0002092409,0.0001523092,0.0001036426,0.0001638441,0.0002941882,0.006032261],"genre_scores_gemma":[0.9787014,0.0009707361,0.01717031,0.0000850943,0.00001620637,0.00004753179,0.00007805849,0.00001446829,0.002916118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007396484,"threshold_uncertainty_score":0.002474308,"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."}}