{"id":"W4406224144","doi":"10.1002/alz.084521","title":"Single ascending dose results from an ongoing Phase 1 study of mivelsiran (ALN‐APP), the first investigational RNA interference therapeutic targeting amyloid precursor protein for Alzheimer’s disease","year":2024,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"RNA interference; Amyloid precursor protein; Disease; Medicine; Alzheimer's disease; Amyloid (mycology); Amyloid β; Investigational Drugs; Cancer research; RNA; Oncology; Biology; Internal medicine; Pathology; Gene; Genetics; Clinical trial","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00130756,0.0003557284,0.0002824278,0.0001887182,0.0004257545,0.000630459,0.001397294,0.00004816378,0.00002033482],"category_scores_gemma":[0.0002288393,0.0002940292,0.000156615,0.0005738642,0.0001395192,0.001331698,0.0004348526,0.0002315468,0.00001005999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002260785,"about_ca_system_score_gemma":0.0002753547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001590766,"about_ca_topic_score_gemma":0.00006959094,"domain_scores_codex":[0.9965279,0.0005045888,0.0008657727,0.001041913,0.0006477725,0.0004120641],"domain_scores_gemma":[0.9971105,0.001446525,0.0003389088,0.0007242326,0.0001872326,0.0001926208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001884238,0.0076011,0.000976962,0.00009747466,0.02726858,0.00007214983,0.06171356,0.01930303,0.0386405,0.02499563,0.001846316,0.8156005],"study_design_scores_gemma":[0.003659958,0.001629191,0.006343476,0.0005264463,0.00805694,0.000002652595,0.000711599,0.9050836,0.04792748,0.02249185,0.002631901,0.0009348869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.633945,0.04591734,0.3093918,0.003406457,0.001592564,0.004681258,0.0004878853,0.0004687367,0.0001089906],"genre_scores_gemma":[0.9637681,0.000002967043,0.03532103,0.0001914505,0.0002207948,0.0003125002,0.0001390865,0.00004158196,0.000002476402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8857806,"threshold_uncertainty_score":0.9999512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08557850934553687,"score_gpt":0.3496156370631333,"score_spread":0.2640371277175965,"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."}}