{"id":"W2162711901","doi":"10.1073/pnas.0403493101","title":"An accelerated assay for the identification of lifespan-extending interventions in <i>Drosophila</i> melanogaster","year":2004,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":236,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Dental and Craniofacial Research; National Institute on Aging; University of Connecticut; Ellison Medical Foundation; Patrick and Catherine Weldon Donaghue Medical Research Foundation; Queen's University","keywords":"Drosophila melanogaster; Biology; Genetic screen; Phenotype; Model organism; Genetics; Population; Biomarker; Gene; Drosophila (subgenus); Computational biology; Bioinformatics; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.00153354,0.00006262613,0.0000859974,0.00006273063,0.0001129942,0.00002118233,0.0006282441,0.00006735066,0.000001738465],"category_scores_gemma":[0.000314078,0.00004181561,0.00008461581,0.000238499,0.0003502633,0.00002822903,0.00006820814,0.00006181742,1.787949e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001182417,"about_ca_system_score_gemma":0.0000283813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007441266,"about_ca_topic_score_gemma":0.000001393188,"domain_scores_codex":[0.999038,0.000007832157,0.0003712748,0.000177441,0.0003096197,0.00009583654],"domain_scores_gemma":[0.9993106,0.0000253585,0.0003880004,0.00001681592,0.0002440237,0.00001518502],"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":[0.0000119242,0.00006606428,0.00241236,0.00004460328,0.00001141211,6.622895e-10,0.000177009,0.002969233,0.9897653,0.004381904,0.00004397985,0.0001161935],"study_design_scores_gemma":[0.0002159967,0.00009333039,0.0467118,0.00004884612,0.00001507776,0.000001839575,0.0001721548,0.000857691,0.9381329,0.01365856,0.00004312772,0.00004867042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971581,0.0002519407,0.0003803432,0.001812072,0.00003266702,0.0002405083,0.00002570539,0.000002335029,0.00009634785],"genre_scores_gemma":[0.9986879,0.00006910944,0.00100854,0.0001112157,0.00006228011,0.00001619962,0.000001511719,0.000004135762,0.0000390747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0516324,"threshold_uncertainty_score":0.1705191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05905891409312168,"score_gpt":0.3391424494065345,"score_spread":0.2800835353134128,"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."}}