{"id":"W3013745565","doi":"10.1016/j.neuroscience.2020.03.040","title":"Nanogold Neuroprotection in Human Neural Stem Cells Against Amyloid-beta-induced Mitochondrial Dysfunction","year":2020,"lang":"en","type":"article","venue":"Neuroscience","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Ministry of Science and Technology, Taiwan","keywords":"Neuroprotection; Amyloid beta; Neural stem cell; Biology; TFAM; Amyloid (mycology); Neuroscience; CREB; Mitochondrion; Cell biology; Stem cell; Biochemistry; Mitochondrial biogenesis; Peptide; Transcription factor","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":[0.0001337347,0.0001831496,0.0002202955,0.0001191844,0.0001617534,0.0002354631,0.0001404969,0.0003427753,0.0006301948],"category_scores_gemma":[0.00007483003,0.00009411098,0.000207584,0.0000990416,0.0001607201,0.0002400056,0.0001288129,0.0003273795,0.0001169227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940773,"about_ca_system_score_gemma":0.0001777531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007478544,"about_ca_topic_score_gemma":0.001041336,"domain_scores_codex":[0.9999443,0.000005619563,0.000004862547,0.00001726055,0.00001290719,0.00001505914],"domain_scores_gemma":[0.9999695,0.00000696912,0.000005554466,0.000004187671,0.000007725148,0.000005965679],"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":[0.0001618808,0.00003164942,0.00009024649,0.0000507068,0.000008926056,0.00006044959,0.00005005066,0.00006977294,0.9976059,0.000238859,0.00005566355,0.001575871],"study_design_scores_gemma":[0.00003402657,0.000341184,0.001226895,0.000008859995,0.00003060667,0.0001357727,0.00006056054,0.0005873825,0.9957018,0.0001188663,0.001750658,0.000003207449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940586,0.001344259,0.003019306,0.0001222977,0.00007715937,0.00001448204,0.0001058617,0.00004856107,0.001209582],"genre_scores_gemma":[0.9967883,0.0005428648,0.001218695,0.00004987723,0.000006857449,0.00001986448,0.00009847392,0.000009294946,0.00126575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007478544,"threshold_uncertainty_score":0.002108216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0663700311682224,"score_gpt":0.3012733750622255,"score_spread":0.2349033438940031,"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."}}