{"id":"W4381513188","doi":"10.1002/adfm.202214826","title":"A Dual Synergetic Nanoreactor for Managing Parkinson's Disease by Regulating Inflammation and Mitigating Oxidative Damage","year":2023,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","keywords":"Nanoreactor; Oxidative stress; Inflammation; Microglia; Blood–brain barrier; Reactive oxygen species; Neuroscience; Nanotechnology; Materials science; Cell biology; Chemistry; Biology; Central nervous system; Immunology; Biochemistry; Nanoparticle","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":[0.0001383017,0.0004425596,0.0002893804,0.0001848711,0.0001036645,0.0002204281,0.00025613,0.0005840019,0.0007171756],"category_scores_gemma":[0.00007972925,0.0001241878,0.0003165422,0.00008170455,0.0001344433,0.0003289146,0.0001679097,0.0003012366,0.0002070618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202908,"about_ca_system_score_gemma":0.0001429781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002351159,"about_ca_topic_score_gemma":0.0005091658,"domain_scores_codex":[0.9999158,0.00001223965,0.000005851987,0.0000290179,0.00002014701,0.00001695882],"domain_scores_gemma":[0.999956,0.000006092491,0.00001552061,0.000003687692,0.000009730667,0.000008990337],"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":[0.00005106795,0.00002017691,0.00003395558,0.00005019486,0.000005601893,0.00002206992,0.000003824672,0.0001359116,0.9970854,0.0001085793,0.00005976498,0.002423451],"study_design_scores_gemma":[0.00002407507,0.0005205034,0.0003928979,0.000006270812,0.00002285974,0.000154519,0.000008545247,0.002452691,0.993902,0.00004112274,0.002465232,0.000009323153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446373,0.009279224,0.04081194,0.0004243186,0.0001448334,0.0001328022,0.0002185484,0.0004353325,0.0039157],"genre_scores_gemma":[0.9662293,0.002117625,0.02778318,0.0001752979,0.00002825209,0.00009710845,0.0001034983,0.00002417479,0.003441556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007171756,"threshold_uncertainty_score":0.002399147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264650089405956,"score_gpt":0.2483479245947222,"score_spread":0.2357014237006626,"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."}}