{"id":"W4210478704","doi":"10.1177/18479804211056167","title":"Antimicrobial, antioxidant, and angiogenic bioactive silver nanoparticles produced using <i>Murraya paniculata</i> (L.) jack leaves","year":2022,"lang":"en","type":"article","venue":"Nanomaterials and Nanotechnology","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nuclear chemistry; Silver nanoparticle; Cytotoxicity; Alkyl; Antioxidant; Chemistry; Antibacterial activity; Phenols; Nanoparticle; Stereochemistry; Materials science; Organic chemistry; Nanotechnology; In vitro; Biochemistry; Bacteria; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000554951,0.0002731453,0.0004770911,0.0001707638,0.0009175633,0.0001437772,0.0002898897,0.0001469369,0.0002624387],"category_scores_gemma":[0.00005250736,0.0002543132,0.00006025972,0.0003685601,0.0004589813,0.0002207152,0.0006315026,0.00009110115,0.00002532731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005204664,"about_ca_system_score_gemma":0.00006221249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001076373,"about_ca_topic_score_gemma":0.000006636355,"domain_scores_codex":[0.9978185,0.0001989318,0.0004906949,0.0007771645,0.0001716945,0.0005430033],"domain_scores_gemma":[0.9990697,0.00006950041,0.0002674097,0.0004624728,0.00004752486,0.00008340592],"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":[0.00006777798,0.0001381124,0.0006318614,0.00002502386,0.00001836112,0.00001088023,0.0001129779,0.00001404466,0.9963855,0.001483257,0.0000986382,0.001013573],"study_design_scores_gemma":[0.000502645,0.0001230164,0.0005663062,0.00001652588,0.00006145736,0.0003296401,0.0001964522,0.00007379414,0.9953424,0.0005314339,0.001925131,0.0003312378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966958,0.001223084,0.00002739771,0.0007368711,0.0003085231,0.000537916,0.0002175388,0.0002455733,0.000007315083],"genre_scores_gemma":[0.9975919,0.0002129487,0.001798513,0.0001516093,0.00005938465,0.0001196438,0.000005179807,0.00003842898,0.00002244991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001826492,"threshold_uncertainty_score":0.9999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655886171068826,"score_gpt":0.2335858608656182,"score_spread":0.2170269991549299,"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."}}