{"id":"W4414334051","doi":"10.1021/jacs.5c12812","title":"Design of Tau Aggregation Inhibitors Using Iterative Machine Learning and a Polymorph-Specific Brain-Seeded Fibril Amplification Assay","year":2025,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"UK Research and Innovation","keywords":"Fibril; Tauopathy; In vitro; Small molecule; Tau protein; Amyloid (mycology); Protein aggregation","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":[0.000717922,0.0007988468,0.0005920798,0.0004991987,0.000263647,0.0004684227,0.0005798131,0.0005399493,0.0006535439],"category_scores_gemma":[0.0008129142,0.0004026512,0.0005487268,0.000389387,0.0002812133,0.0003175121,0.0003688914,0.001046645,0.0002866971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005533606,"about_ca_system_score_gemma":0.000360395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005246908,"about_ca_topic_score_gemma":0.001574901,"domain_scores_codex":[0.9995685,0.0001044526,0.00004160118,0.0000856378,0.0001495872,0.00005022743],"domain_scores_gemma":[0.999616,0.0001291524,0.0001079615,0.00003431215,0.0000744631,0.00003807863],"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":[0.00009742742,0.0002105944,0.000182922,0.00009654145,0.00003541,0.00005267974,0.00003630203,0.007888582,0.9752467,0.0005533021,0.0001643472,0.01543514],"study_design_scores_gemma":[0.00005226104,0.0008601471,0.000380768,0.000007055556,0.00002486198,0.00008740283,0.000007320858,0.04318243,0.9537384,0.0001469825,0.001487054,0.00002526263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4565121,0.002048413,0.5326837,0.0002666351,0.00006984641,0.001384622,0.0004177226,0.001024477,0.005592521],"genre_scores_gemma":[0.7661335,0.001532813,0.2271643,0.0001638888,0.00002181719,0.001168751,0.0004108663,0.00009774206,0.003306306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007988468,"threshold_uncertainty_score":0.004014909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02707932934162513,"score_gpt":0.3163447798164332,"score_spread":0.2892654504748081,"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."}}