{"id":"W4412492873","doi":"10.1167/iovs.66.9.53","title":"LIRTS Viewer: A Web-Based Resource to View the Transcriptional Response of Lens Epithelial Cells to Injury","year":2025,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Intraocular Surgery and Lenses","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Eye Institute; National Institutes of Health; Delaware IDeA Network of Biomedical Research Excellence; Canadian Institute of Steel Construction","keywords":"Transcriptome; Gene expression; Biology; Gene; Extracellular matrix; RNA; Gene expression profiling; Lens (geology); Cell biology; Computational biology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003285335,0.0002283903,0.0004459826,0.0004945016,0.0003660463,0.00002297986,0.0004503332,0.0001100581,0.0001719034],"category_scores_gemma":[0.00237305,0.0001628837,0.0001459477,0.002399046,0.003445287,0.0001022202,0.0001064165,0.0003005079,0.0000899122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011625,"about_ca_system_score_gemma":0.001907577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003576611,"about_ca_topic_score_gemma":0.000001392645,"domain_scores_codex":[0.9971821,0.0006925297,0.0004616599,0.0005943003,0.0005705483,0.0004988072],"domain_scores_gemma":[0.9979123,0.0008288746,0.0001002998,0.0004249952,0.0004229262,0.0003105819],"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":[0.002067534,0.00016321,0.001824199,0.00003982753,0.00002251335,0.00009924184,0.0009608426,0.00005705413,0.9927834,0.0006437761,0.0009389122,0.0003994635],"study_design_scores_gemma":[0.0003411123,0.001568772,0.06837118,0.0003728226,0.00004724132,0.0000591258,0.0001436488,0.00007938344,0.8990787,0.0003268261,0.02945732,0.0001538465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823514,0.000107441,0.00003449164,0.01512552,0.0003810401,0.000775913,0.00004410548,0.00002896703,0.00115109],"genre_scores_gemma":[0.9811008,0.000002721787,0.0009607053,0.01714417,0.00005421146,0.00008364634,0.00000280085,0.00001124871,0.0006396845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0937047,"threshold_uncertainty_score":0.9992667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03260311214186788,"score_gpt":0.3397987077044739,"score_spread":0.307195595562606,"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."}}