{"id":"W2897464930","doi":"10.1016/j.jcis.2018.10.041","title":"Dual-functional gelatin-capped silver nanoparticles for antibacterial and antiangiogenic treatment of bacterial keratitis","year":2018,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Corneal Surgery and Treatments","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Ministry of Science and Technology of the People's Republic of China","keywords":"Corneal neovascularization; Keratitis; Gelatin; Staphylococcus aureus; Microbiology; Neovascularization; Cornea; Chemistry; Antimicrobial; Angiogenesis; Medicine; Bacteria; Biology; Ophthalmology; Biochemistry; Cancer research","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":[0.0002064243,0.00009097149,0.0002626056,0.0001046331,0.0001367998,0.00004624269,0.00002872737,0.00002826921,0.0001566834],"category_scores_gemma":[0.00007327452,0.00006167722,0.00007349339,0.0001355522,0.000452922,0.0002601188,0.00001956544,0.00002178451,0.000001479425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000420281,"about_ca_system_score_gemma":0.0002016542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006832464,"about_ca_topic_score_gemma":0.000006384586,"domain_scores_codex":[0.9992318,0.00001473971,0.0002966721,0.0001337638,0.0001765218,0.0001464706],"domain_scores_gemma":[0.99928,0.00006293316,0.0001862363,0.00006591081,0.0002749289,0.0001300013],"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":[0.001578019,0.0001770026,0.009814323,0.00000909687,0.0000703574,0.000002255938,0.0002894453,4.234813e-7,0.9846521,0.00003062839,0.0001248578,0.003251459],"study_design_scores_gemma":[0.003007778,0.0062695,0.1047245,0.00008017416,0.000118142,0.0003738003,0.00006934541,0.00008032296,0.8828231,0.00004739216,0.00234606,0.00005989219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984519,0.0002580139,0.00005984219,0.0001813693,0.0007906398,0.0001622208,0.00002188826,0.00000287811,0.00007127365],"genre_scores_gemma":[0.9986352,0.0001163196,0.0006609052,0.00001744876,0.0003351295,0.000001550757,9.178093e-7,0.000004320474,0.0002282303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.101829,"threshold_uncertainty_score":0.2515124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381884673481011,"score_gpt":0.2916913300699198,"score_spread":0.2678724833351097,"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."}}