{"id":"W4408535224","doi":"10.1021/acsmedchemlett.4c00600","title":"Novel Phenoselenazines as Amyloid-β Aggregation Inhibitors","year":2025,"lang":"en","type":"article","venue":"ACS Medicinal Chemistry Letters","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ministry of Higher Education; Government of Ontario; Egyptian Cultural and Educational Bureau; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Amyloid (mycology); Chemistry; Computer science; Computational biology; Biology","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":[0.0001041586,0.0004474566,0.000238607,0.0001928375,0.0001022193,0.0001298753,0.0002501369,0.000201226,0.001355105],"category_scores_gemma":[0.00009032491,0.0001177755,0.000156681,0.0002137972,0.0001346791,0.0002003733,0.0002105662,0.0003326956,0.0004018735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001408729,"about_ca_system_score_gemma":0.0001216875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002634485,"about_ca_topic_score_gemma":0.0007227237,"domain_scores_codex":[0.999954,0.000009819375,0.000002764344,0.00001043023,0.00001111317,0.00001187888],"domain_scores_gemma":[0.9999727,0.000004425937,0.000007013293,0.000002896335,0.000005466565,0.000007413818],"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":[0.0004852186,0.0001907373,0.0003851251,0.0004198676,0.00003457699,0.0006173682,0.00005718458,0.002651946,0.9590198,0.001064851,0.0008727956,0.03420059],"study_design_scores_gemma":[0.0003390978,0.003654558,0.004437066,0.00005787239,0.00007382717,0.0009517202,0.00004925854,0.005370122,0.9490888,0.0004323388,0.03550683,0.00003857516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962173,0.01234488,0.01375734,0.0003522417,0.00009429231,0.0002528997,0.0008264479,0.0002853677,0.009913603],"genre_scores_gemma":[0.9736963,0.0104936,0.00903191,0.0002258968,0.00002744964,0.0001397511,0.000866745,0.00001859705,0.00549981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001355105,"threshold_uncertainty_score":0.004533291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00845530364851537,"score_gpt":0.2525066960244889,"score_spread":0.2440513923759736,"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."}}