{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001162463,0.0003299813,0.0002774108,0.00003258322,0.0002270671,0.0000472711,0.0004747924,0.0002231426,0.000895576],"category_scores_gemma":[0.0002502032,0.0003405218,0.0001169107,0.0003793629,0.0002649363,0.00009438388,0.0001059712,0.0004845959,0.00005289194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001768138,"about_ca_system_score_gemma":0.0001166073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007716272,"about_ca_topic_score_gemma":0.000001803125,"domain_scores_codex":[0.9981663,0.000004515743,0.0004714343,0.0005720464,0.0003824476,0.0004032376],"domain_scores_gemma":[0.9987457,0.0001806581,0.0001801604,0.0006363246,0.00009010736,0.0001670802],"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":[0.0000312446,0.0001113115,0.0005051386,0.0004282154,0.00006489109,0.0000110022,0.00009363302,0.00001706294,0.9799473,0.00008647474,0.01577712,0.002926648],"study_design_scores_gemma":[0.000852871,0.000002256009,0.000044194,0.0003471243,0.00008874054,0.0000551211,0.0003786948,0.00003475294,0.9514656,0.0001910758,0.04625423,0.0002853562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9230735,0.0002200399,0.0004223752,0.01277764,0.0001061395,0.00007058946,0.00002535683,0.0002324335,0.06307193],"genre_scores_gemma":[0.9891671,0.00003973658,0.0001751791,0.002607483,0.001001289,0.000108837,0.0002776158,0.00002783075,0.006594932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0660936,"threshold_uncertainty_score":0.9999047,"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."}}