{"id":"W7117748921","doi":"10.1016/j.csbj.2025.12.031","title":"seneR: An R package for comprehensive senescence assessment and its application in type 2 diabetes and osteoarthritis","year":2025,"lang":"en","type":"article","venue":"Computational and Structural Biotechnology Journal","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Science and Technology Commission of Shanghai Municipality","keywords":"Senescence; Type 2 diabetes; Osteoarthritis; Transcriptome; Cellular senescence; Identification (biology)","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":[0.00911201,0.004306152,0.003928628,0.003327372,0.0007849681,0.003035433,0.004317584,0.001858839,0.082756],"category_scores_gemma":[0.03348996,0.002585412,0.004986642,0.002970369,0.001089635,0.002481634,0.004331255,0.003941457,0.03734459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007376117,"about_ca_system_score_gemma":0.005012923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00287918,"about_ca_topic_score_gemma":0.003614014,"domain_scores_codex":[0.9956843,0.001929314,0.0004400129,0.000935368,0.0006930275,0.0003180312],"domain_scores_gemma":[0.982961,0.0127321,0.00122697,0.001271028,0.001280221,0.0005286586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002869149,0.0002228735,0.01495184,0.0180014,0.007681086,0.001749674,0.001060186,0.01973749,0.009111982,0.01792222,0.7711477,0.1355445],"study_design_scores_gemma":[0.002429287,0.0006722171,0.01739808,0.003145972,0.003148443,0.00200162,0.000334936,0.1112996,0.009739178,0.07324313,0.7759714,0.0006161164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.007842017,0.00638854,0.3938905,0.001614209,0.001547756,0.001056171,0.1848361,0.3969168,0.005907825],"genre_scores_gemma":[0.07135026,0.005428288,0.5787053,0.002749331,0.0007864654,0.01206225,0.1329165,0.1850681,0.01093347],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.082756,"threshold_uncertainty_score":0.2768464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469911957377737,"score_gpt":0.3093789504606089,"score_spread":0.2946798308868316,"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."}}