{"id":"W4409382497","doi":"10.1016/j.drudis.2025.104359","title":"Advancing ocular gene therapy: a machine learning approach to enhance delivery, uptake and gene expression","year":2025,"lang":"en","type":"review","venue":"Drug Discovery Today","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Paul University","funders":"","keywords":"Genetic enhancement; Gene expression; Gene delivery; Gene; Computational biology; Bioinformatics; Pharmacology; Biology; Genetics","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":[0.0003358034,0.0006977951,0.001091884,0.0001845196,0.0001996317,0.0001562032,0.0005397935,0.0003602244,0.0000106923],"category_scores_gemma":[0.000086351,0.0005701574,0.0004567481,0.0002219697,0.00005177488,0.00002560197,0.0006452235,0.0004014297,0.00001676661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004536362,"about_ca_system_score_gemma":0.0002685976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004503923,"about_ca_topic_score_gemma":0.00001243393,"domain_scores_codex":[0.9971217,0.0002783501,0.0005719975,0.0012842,0.0002274926,0.0005162641],"domain_scores_gemma":[0.9987323,0.00004008686,0.0002502981,0.0007389236,0.00007619636,0.0001622421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001482748,0.0002056711,0.00002934037,0.003657544,0.0004163252,0.00001954786,0.0001773311,0.0003916466,0.08837368,0.000007126663,0.003532741,0.9030408],"study_design_scores_gemma":[0.0001925581,0.0001520759,0.000002902869,0.002960711,0.0001473052,0.00002680211,0.00003928006,0.00002525499,0.06625231,0.000005443968,0.9294884,0.0007069577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01288328,0.9803291,0.004817567,0.00001621491,0.000248656,0.0007980629,0.0001664192,0.00002738944,0.0007133416],"genre_scores_gemma":[0.001615602,0.9858418,0.001789548,0.0002771361,0.0003241369,0.0002440522,0.001563811,0.00008020188,0.008263736],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9259557,"threshold_uncertainty_score":0.999675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086574921384349,"score_gpt":0.2809636186626168,"score_spread":0.2700978694487733,"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."}}