{"id":"W4415452627","doi":"10.3390/molecules30214152","title":"Paradoxical Features Empower Biogenic Silver Nanoparticles","year":2025,"lang":"en","type":"article","venue":"Molecules","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Silver nanoparticle; Human health; Cancer therapy; Resource (disambiguation); Basic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001726395,0.0002474298,0.0002033083,0.0002740243,0.0002015611,0.0006701014,0.0003378594,0.0007284151,0.001412835],"category_scores_gemma":[0.0002980437,0.0001578596,0.0001903714,0.0001278769,0.0005754443,0.0005464272,0.0005190166,0.0005626627,0.0003911757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003032092,"about_ca_system_score_gemma":0.0001548088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001356182,"about_ca_topic_score_gemma":0.0002198693,"domain_scores_codex":[0.9998512,0.00002261909,0.000008041428,0.00003678723,0.00005952917,0.00002184541],"domain_scores_gemma":[0.9998991,0.00003624362,0.00002173851,0.00001133511,0.000020941,0.00001064447],"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":[0.0001647954,0.00003481144,0.0004955072,0.001562281,0.00004695425,0.001857478,0.0002798332,0.0009793066,0.8895969,0.0598953,0.003137673,0.04194918],"study_design_scores_gemma":[0.00004143639,0.0004134838,0.002139593,0.0001221971,0.00007573542,0.00501264,0.0003262373,0.004596548,0.7731305,0.04245201,0.1716421,0.00004746906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5570462,0.171838,0.09091301,0.009585408,0.002653151,0.0001257249,0.0004830605,0.001483455,0.1658721],"genre_scores_gemma":[0.9705476,0.01310367,0.006274695,0.0009381063,0.0002240003,0.00003565708,0.0001106269,0.00006843459,0.008697318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001412835,"threshold_uncertainty_score":0.00472641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007878620317792469,"score_gpt":0.2561826694205409,"score_spread":0.2483040491027484,"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."}}