{"id":"W4366506637","doi":"10.11159/iceptp23.172","title":"Gold Nanoparticles from Grape Pomace Wastes: Cosmetic and Biomedical Applications","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Phytochemistry Medicinal Plant Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pomace; Colloidal gold; Nanoparticle; Grape seed; Materials science; Nanotechnology; Waste management; Food science; Chemistry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001941793,0.0003714026,0.0002421146,0.0002348211,0.0002598225,0.0006294459,0.0001561033,0.0005232194,0.00108785],"category_scores_gemma":[0.0001359377,0.0001725883,0.0002710742,0.00007523558,0.0001701014,0.0001883075,0.0002537651,0.0004852009,0.0004812734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000361323,"about_ca_system_score_gemma":0.0001791009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007833626,"about_ca_topic_score_gemma":0.001706769,"domain_scores_codex":[0.9999056,0.00001061107,0.000003496225,0.00002482958,0.00004162255,0.00001385649],"domain_scores_gemma":[0.9999589,0.00001117395,0.000003795822,0.000003810966,0.00001222279,0.00001002596],"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":[0.00005422044,0.00001445778,0.00005858268,0.00005837288,0.000008147424,0.00008785861,0.00002031375,0.0002101062,0.993481,0.0001536198,0.0002359473,0.005617387],"study_design_scores_gemma":[0.000004661384,0.00009168496,0.0003789447,0.000005033746,0.000009482381,0.00008252406,0.00002225462,0.000524222,0.9958348,0.00008563796,0.002958288,0.000002509927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9486724,0.01320633,0.01434329,0.0009826027,0.0005634605,0.00007617504,0.0001636004,0.0002542762,0.02173796],"genre_scores_gemma":[0.9636815,0.004125629,0.004689635,0.0003041572,0.00006577874,0.00001365097,0.0001455291,0.00007946175,0.02689463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00108785,"threshold_uncertainty_score":0.003639221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00691399405086531,"score_gpt":0.1858652845634092,"score_spread":0.1789512905125439,"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."}}