{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009184631,0.001101019,0.0005464588,0.0008851995,0.0003920573,0.0004224781,0.0006354701,0.0006828627,0.002305987],"category_scores_gemma":[0.0004137472,0.0003999565,0.0005662342,0.0003870458,0.000430484,0.0003477868,0.0004188712,0.001381721,0.001011417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005747248,"about_ca_system_score_gemma":0.0005052947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027176,"about_ca_topic_score_gemma":0.002280735,"domain_scores_codex":[0.9991496,0.0002462336,0.0001158399,0.000182746,0.000242109,0.00006336599],"domain_scores_gemma":[0.9993062,0.0001486618,0.0001943725,0.00013491,0.0001118731,0.0001039078],"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":[0.0000599817,0.00005429427,0.0001897152,0.00004347756,0.000009794199,0.00001611549,0.00001122211,0.00002593575,0.9981409,0.0001047749,0.0001185005,0.001225309],"study_design_scores_gemma":[0.00003493528,0.001060595,0.006500813,0.00001989708,0.00004597112,0.0001848515,0.00001555192,0.000607131,0.987241,0.00005724472,0.004216606,0.00001546841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7714202,0.004793829,0.1936316,0.0007569328,0.0004264127,0.002489572,0.009040679,0.002801046,0.01463975],"genre_scores_gemma":[0.7212889,0.005171136,0.2363329,0.0007885413,0.0001346452,0.003744153,0.01119158,0.0006301175,0.02071801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002305987,"threshold_uncertainty_score":0.007714272,"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."}}