{"id":"W4210432231","doi":"10.1002/agm2.12193","title":"The intervention on aging system: A classification model, the requirement for five novel categories","year":2022,"lang":"en","type":"review","venue":"Aging Medicine","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Longevity; Reprogramming; Population ageing; Life expectancy; Epigenetics; Epigenome; Biology; Bioinformatics; Population; Risk analysis (engineering); Medicine; Genetics; Gene; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.001552534,0.0003431831,0.0005087661,0.00006497109,0.0007083357,0.00005102724,0.0006451331,0.0001271429,0.000005744228],"category_scores_gemma":[0.0002118295,0.0001927162,0.000288602,0.0001078763,0.0001802345,0.000002979942,0.0001861824,0.0002846411,0.000002828968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665077,"about_ca_system_score_gemma":0.0001297554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006287538,"about_ca_topic_score_gemma":0.00003764209,"domain_scores_codex":[0.9980415,0.0001765385,0.0006190023,0.0005217643,0.0003318963,0.0003092947],"domain_scores_gemma":[0.9983022,0.0001668564,0.0005372115,0.000850371,0.00009221754,0.00005115534],"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":[0.00005722521,0.000159522,0.000003001428,0.01668442,0.001035455,0.000002892446,0.003088448,0.001273919,0.001131361,0.01238056,0.0222297,0.9419535],"study_design_scores_gemma":[0.0003746726,0.0002947374,0.000001667958,0.002164292,0.0007245142,0.00002040969,0.001439939,0.003725847,0.00004570013,0.00009398493,0.9908872,0.0002270967],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003058691,0.9334694,0.06220093,0.001340604,0.0012067,0.001362869,0.0000327744,0.00003061444,0.0003255248],"genre_scores_gemma":[0.007277966,0.9873809,0.0001529284,0.0002652639,0.001079469,0.0008619925,0.0009071445,0.00008067086,0.001993716],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9686574,"threshold_uncertainty_score":0.7858737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1086677700471787,"score_gpt":0.3582583470853435,"score_spread":0.2495905770381648,"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."}}