{"id":"W2097898843","doi":"10.1111/cns.12286","title":"Effect of Tacrine‐3‐caffeic Acid, A Novel Multifunctional Anti‐Alzheimer's Dimer, Against Oxidative‐Stress‐Induced Cell Death in <scp>HT</scp>22 Hippocampal Neurons: Involvement of Nrf2/<scp>HO</scp>‐1 Pathway","year":2014,"lang":"en","type":"article","venue":"CNS Neuroscience & Therapeutics","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Armand Frappier Museum; Institut National de la Recherche Scientifique","funders":"Fundamental Research Funds for the Central Universities; Hong Kong Polytechnic University; National Natural Science Foundation of China","keywords":"Neuroprotection; Oxidative stress; Tacrine; Chemistry; Heme oxygenase; Programmed cell death; Cell biology; Caffeic acid phenethyl ester; Reactive oxygen species; Glutamate receptor; Caffeic acid; Pharmacology; Biochemistry; Biology; Antioxidant; Heme; Apoptosis; Enzyme; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005596778,0.0005555216,0.000601606,0.0001964734,0.0001454574,0.00004569501,0.0009243907,0.0002478834,0.000001652618],"category_scores_gemma":[0.0005243571,0.0005213582,0.00025402,0.0004364315,0.0005775375,0.00003175546,0.0003939836,0.000375788,0.000004168641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003012493,"about_ca_system_score_gemma":0.0001808536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001926345,"about_ca_topic_score_gemma":0.0000109706,"domain_scores_codex":[0.9965633,0.0003959143,0.0007016548,0.001064403,0.0005240557,0.0007507438],"domain_scores_gemma":[0.9977616,0.0004201426,0.0005716445,0.0008223318,0.0002189773,0.0002053115],"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":[0.0000335352,0.0006381735,0.02141109,0.00008594117,0.00004499402,0.00000238607,0.0002451023,0.0006835379,0.9757967,0.00002438842,0.00003742331,0.0009967572],"study_design_scores_gemma":[0.001767541,0.001753746,0.02060324,0.00004998463,0.00008581582,0.000004155298,0.0001639647,0.001582135,0.9712697,0.00003264859,0.002533785,0.0001532951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959639,0.000639107,0.001508499,0.00002207701,0.0006252234,0.0006751795,0.0001932097,0.00002269694,0.0003501182],"genre_scores_gemma":[0.9981818,0.0003337522,0.0002868312,0.000743868,0.0001434076,0.0000575224,0.000107119,0.00006270018,0.00008298697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004526982,"threshold_uncertainty_score":0.9997238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285151669727944,"score_gpt":0.2660734536161881,"score_spread":0.2375582866433937,"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."}}