{"id":"W4403982022","doi":"10.1007/s13346-024-01721-8","title":"Rational development of fingolimod nano-embedded microparticles as nose-to-brain neuroprotective therapy for ischemic stroke","year":2024,"lang":"en","type":"article","venue":"Drug Delivery and Translational Research","topic":"Advanced Drug Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; University Research Committee, University of Hong Kong; Science and Technology Planning Project of Guangdong Province; University of Hong Kong; Innovation and Technology Commission - Hong Kong; Innovation and Technology Commission","keywords":"Neuroprotection; Medicine; Fingolimod; Stroke (engine); Nasal administration; Ischemic stroke; Neuroscience; Pharmacology; Internal medicine; Multiple sclerosis; Ischemia; Psychology; Immunology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001792599,0.0002702098,0.0002677625,0.0001809986,0.0001108176,0.0002352017,0.0001805864,0.0002822355,0.0003406685],"category_scores_gemma":[0.0001558679,0.0001484518,0.0003948896,0.00009121218,0.0001245638,0.0001897979,0.0001653064,0.000266441,0.0002097095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002446448,"about_ca_system_score_gemma":0.0002293243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004025259,"about_ca_topic_score_gemma":0.001013431,"domain_scores_codex":[0.9999212,0.000007627348,0.00000917814,0.00001948191,0.00003084322,0.00001163014],"domain_scores_gemma":[0.9999701,0.00000434947,0.00001090607,0.000002026068,0.000007740455,0.000004979463],"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":[0.0000587639,0.00003735058,0.00008557283,0.000113519,0.00001167907,0.00008245462,0.00001310911,0.0007211242,0.9936399,0.0001720609,0.0000666548,0.004997733],"study_design_scores_gemma":[0.00002712424,0.0003770122,0.0007579904,0.00001198813,0.00003084723,0.0001099879,0.00001109812,0.003893417,0.9918817,0.00004861242,0.002839961,0.0000102542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656849,0.005571778,0.02456198,0.0001593283,0.00006816338,0.0002788681,0.0004875026,0.000172712,0.003014887],"genre_scores_gemma":[0.9612501,0.003394801,0.03277588,0.00007807404,0.00001892763,0.0001706991,0.0003774852,0.00002937473,0.001904703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004025259,"threshold_uncertainty_score":0.001775026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1697077149677241,"score_gpt":0.4816018458293491,"score_spread":0.311894130861625,"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."}}