{"id":"W2903437882","doi":"10.1039/c8sc04660c","title":"A catalytic antioxidant for limiting amyloid-beta peptide aggregation and reactive oxygen species generation","year":2018,"lang":"en","type":"article","venue":"Chemical Science","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Burnaby Hospital; Simon Fraser University","funders":"Ciência sem Fronteiras; Israel Science Foundation; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Michael Smith Health Research BC; Alzheimer's Association","keywords":"Reactive oxygen species; Limiting; Antioxidant; Chemistry; Amyloid beta; Peptide; Amyloid (mycology); BETA (programming language); Catalysis; Biochemistry; Biophysics; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000450689,0.0003443709,0.0003456197,0.0004756851,0.0004559874,0.0008647709,0.0007828171,0.0007879377,0.00105458],"category_scores_gemma":[0.0004357626,0.0002458678,0.0003036489,0.000195497,0.0003248593,0.0005870772,0.0003500429,0.0008952803,0.0003555448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622472,"about_ca_system_score_gemma":0.0005228347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003900243,"about_ca_topic_score_gemma":0.0006285536,"domain_scores_codex":[0.9997826,0.00002978113,0.00001767378,0.00006375156,0.00007082774,0.0000354566],"domain_scores_gemma":[0.9998596,0.00001874675,0.00002445473,0.00001886073,0.00004039219,0.00003800572],"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":[0.0002835817,0.0001971401,0.0002949435,0.0003111614,0.00003155876,0.0001606444,0.00005364789,0.0001934842,0.9649386,0.003487483,0.001247393,0.02880037],"study_design_scores_gemma":[0.00007018626,0.0003581784,0.000360863,0.00002179426,0.00005693307,0.00045751,0.00002363264,0.00173697,0.9816725,0.0004326469,0.01479664,0.00001215377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8453755,0.03666071,0.09127256,0.002222412,0.001425187,0.0003307806,0.0003484413,0.002304208,0.02006017],"genre_scores_gemma":[0.9669475,0.004928363,0.02049929,0.0003619176,0.00009943588,0.00007384714,0.0002034886,0.00003878636,0.006847326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00105458,"threshold_uncertainty_score":0.003527939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05149664203334476,"score_gpt":0.3231239117654787,"score_spread":0.2716272697321339,"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."}}