{"id":"W4404095745","doi":"10.1016/j.jddst.2024.106385","title":"Formulation and optimization of xanthohumol loaded solid dispersion for effective treatment of Parkinson's disease in rats: In vitro and in vivo assessment","year":2024,"lang":"en","type":"article","venue":"Journal of Drug Delivery Science and Technology","topic":"Hops Chemistry and Applications","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"In vivo; Xanthohumol; Parkinson's disease; In vitro; Dispersion (optics); Pharmacology; Medicine; Materials science; Disease; Biomedical engineering; Chemistry; Computer science; Internal medicine; Biology; Biotechnology; Biochemistry; Physics","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":[0.0001371879,0.0002168602,0.000226696,0.0002184757,0.0001211904,0.000170571,0.0001567659,0.0002109108,0.0006856665],"category_scores_gemma":[0.0001021984,0.0001069715,0.0002054047,0.0001479253,0.00009667412,0.0001863652,0.0001071529,0.0002725919,0.0001468746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001268346,"about_ca_system_score_gemma":0.0001580813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004764126,"about_ca_topic_score_gemma":0.00118213,"domain_scores_codex":[0.9999503,0.0000060682,0.000006675606,0.00001200205,0.00001775468,0.00000722857],"domain_scores_gemma":[0.9999501,0.000007517898,0.00001866584,0.000003002066,0.00001305917,0.000007604603],"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":[0.0001922068,0.0001186129,0.00009101183,0.00009341718,0.000007943839,0.00004506534,0.00001815562,0.0003052368,0.9940654,0.00007331274,0.00004022259,0.004949299],"study_design_scores_gemma":[0.00003889148,0.001724993,0.001280031,0.00001072641,0.0000549887,0.00008690157,0.00001979597,0.001264637,0.9930143,0.00003295861,0.002460863,0.00001069552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920216,0.001700717,0.005111054,0.00007864662,0.00004088523,0.00008416848,0.0001930701,0.00004481538,0.0007250448],"genre_scores_gemma":[0.9800667,0.002788614,0.0128594,0.00003709519,0.00002317256,0.00009844457,0.0002654363,0.0000299518,0.00383134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006856665,"threshold_uncertainty_score":0.002293766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315056755459103,"score_gpt":0.3851715917074012,"score_spread":0.3620210241528101,"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."}}