{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006473901,0.0001957783,0.0002291591,0.00014062,0.0002086347,0.00007521034,0.0001688047,0.00006235379,0.00001742976],"category_scores_gemma":[0.00004848465,0.000171415,0.0001001563,0.0007937296,0.0001017763,0.0002846514,0.0000789862,0.0003781737,0.00006781003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007175503,"about_ca_system_score_gemma":0.0001173773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000474644,"about_ca_topic_score_gemma":0.000006501681,"domain_scores_codex":[0.9977938,0.0001324683,0.000258645,0.0006977869,0.0006651402,0.0004521684],"domain_scores_gemma":[0.9990717,0.0000218218,0.0000768982,0.0002723226,0.00005607434,0.0005012112],"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":[0.0002725556,0.0002259902,0.00510516,0.00002745437,0.00001710782,0.0004545364,0.00006069593,0.00009447427,0.9912946,0.000008565658,0.0001377441,0.00230108],"study_design_scores_gemma":[0.007203336,0.00517437,0.15125,0.00006970058,0.0001413747,0.00005363756,0.00009441772,0.01892232,0.815675,0.00001190483,0.0009485288,0.0004554667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968095,0.00004952908,0.00004191326,0.001025091,0.0006989831,0.0008864301,0.000007715585,0.0001249589,0.0003559047],"genre_scores_gemma":[0.9978074,0.00001455218,0.00001485477,0.001784281,0.0002401843,0.0000501247,0.000004983595,0.00002505552,0.00005855866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1756197,"threshold_uncertainty_score":0.69901,"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."}}