{"id":"W4390788175","doi":"10.1093/gerona/glae021","title":"Dynamical Network Stability Analysis of Multiple Biological Ages Provides a Framework for Understanding the Aging Process","year":2024,"lang":"en","type":"article","venue":"The Journals of Gerontology Series A","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Process (computing); Stability (learning theory); Computer science; Computational biology; Biology; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001524378,0.0009154048,0.0007671798,0.002188827,0.0005931816,0.001119674,0.0006761147,0.0006580549,0.002186655],"category_scores_gemma":[0.005370538,0.0003179498,0.001069448,0.0008225125,0.001204621,0.001843902,0.001373413,0.001130615,0.0003309181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237238,"about_ca_system_score_gemma":0.0008953302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005863945,"about_ca_topic_score_gemma":0.004284238,"domain_scores_codex":[0.9994363,0.0001761952,0.00003034664,0.0002122986,0.0001016047,0.00004310195],"domain_scores_gemma":[0.9981704,0.000866399,0.0004601617,0.0001600673,0.0002436735,0.00009929388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001080287,0.00006916577,0.02311751,0.0002779303,0.0003981579,0.0003100342,0.0005204738,0.6928806,0.014518,0.207122,0.002119008,0.05855915],"study_design_scores_gemma":[0.000006090938,0.00004198032,0.008524974,0.00003386571,0.00003997273,0.00007206057,0.00008336015,0.8830244,0.0008789687,0.1043957,0.002863934,0.00003467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06411494,0.0009287997,0.9293896,0.0005039756,0.00006494758,0.00007700663,0.0006968008,0.0002318315,0.00399217],"genre_scores_gemma":[0.8524255,0.001630951,0.1396877,0.0001739153,0.0001659839,0.0003481476,0.001164848,0.0001176628,0.004285424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005863945,"threshold_uncertainty_score":0.01165962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09065456188686069,"score_gpt":0.3424352412672667,"score_spread":0.2517806793804059,"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."}}