{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009679108,0.0003979404,0.0002943419,0.0002058955,0.0001452603,0.0001219782,0.0001939783,0.0002681564,0.0005152981],"category_scores_gemma":[0.00006572034,0.00008050846,0.000332807,0.0001469389,0.0001581847,0.000225771,0.0001047847,0.0003086498,0.00008435613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026988,"about_ca_system_score_gemma":0.0001833307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007116527,"about_ca_topic_score_gemma":0.001005352,"domain_scores_codex":[0.9999735,0.000004446384,0.000002958514,0.000006615647,0.000004667918,0.000007725053],"domain_scores_gemma":[0.9999689,0.000002602679,0.000008157822,0.000002998045,0.000005745643,0.00001163934],"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":[0.001529002,0.000185827,0.0001753057,0.0002171718,0.00003915238,0.0001135542,0.00002760929,0.00008763669,0.9916685,0.00005757059,0.00007388362,0.005824885],"study_design_scores_gemma":[0.0004306352,0.006953865,0.005969129,0.00001957373,0.0001988338,0.0005981041,0.00003825996,0.0009260792,0.981897,0.00006970172,0.002881636,0.00001720546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918333,0.006516227,0.0008675754,0.00005296975,0.00003255998,0.0000357189,0.00009994864,0.00003196452,0.0005297483],"genre_scores_gemma":[0.9960302,0.002309548,0.001052652,0.00006274955,0.00001662601,0.00001547986,0.0001259524,0.00000342233,0.0003834322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007116527,"threshold_uncertainty_score":0.001723886,"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."}}