{"id":"W4407983457","doi":"10.18280/ijdne.200122","title":"Antifungal Activity of Turmeric Extract (Curcuma longa Linn) Fortified with Silver Nanoparticles Against Pathogenic Fungi","year":2025,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Medicinal Plant Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curcuma; Antifungal; Traditional medicine; Silver nanoparticle; Biology; Chemistry; Biotechnology; Microbiology; Nanoparticle; Medicine; Materials science; Nanotechnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006509396,0.0001190516,0.0002316783,0.00006748515,0.00005727548,0.00005815699,0.0003511138,0.0001407783,0.00003346019],"category_scores_gemma":[0.0001822146,0.00004746815,0.00007735267,0.0002700389,0.00007734101,0.0002196527,0.00004992539,0.0004900515,8.714138e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004032782,"about_ca_system_score_gemma":0.00006873057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002905956,"about_ca_topic_score_gemma":0.0001942921,"domain_scores_codex":[0.9987574,0.0001077211,0.0003107612,0.0001496764,0.0005025605,0.000171912],"domain_scores_gemma":[0.9984361,0.0006695035,0.000301218,0.00004015539,0.0004724925,0.00008054605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001418277,0.0001575027,0.0275468,0.00001270556,0.0001823674,0.0001126866,0.00002356356,0.0001543392,0.8636472,0.0001033276,0.0003048829,0.1063363],"study_design_scores_gemma":[0.0009870329,0.001213814,0.918771,0.0004564681,0.00008989438,0.0003256962,0.0001757285,0.01174638,0.064395,0.0008057492,0.0007709803,0.0002622872],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972045,0.001263149,0.0004953403,0.0005101429,0.0002524153,0.0001049705,0.00005031515,0.000005358489,0.0001138526],"genre_scores_gemma":[0.9984469,0.000815241,0.0003920141,0.0001374118,0.0001119015,0.000001119635,0.00001880162,0.000001173831,0.00007547344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8912241,"threshold_uncertainty_score":0.2129057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766310241333995,"score_gpt":0.2670609972861064,"score_spread":0.2493978948727664,"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."}}