{"id":"W4233125876","doi":"10.1126/sageke.2003.32.nf15","title":"Chasing 100","year":2003,"lang":"en","type":"article","venue":"Science of Aging Knowledge Environment","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Centenarian; Elixir (programming language); Gerontology; Longevity; Dementia; Disease; Medicine; Demography; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005657279,0.0001261483,0.0001074667,0.00007033608,0.0001637265,0.00002056352,0.0002999949,0.0000464404,0.00005629672],"category_scores_gemma":[0.0000549656,0.0001259402,0.0000512079,0.0001084008,0.0006298965,0.000005997752,0.0001356725,0.00005628308,0.00004556962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003948717,"about_ca_system_score_gemma":0.0001126138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003258232,"about_ca_topic_score_gemma":0.000001643958,"domain_scores_codex":[0.9988653,0.00003681453,0.0001695771,0.0004011493,0.0002146488,0.0003125104],"domain_scores_gemma":[0.9993652,0.000005205149,0.00006944696,0.0004324174,0.00002327885,0.0001044778],"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":[0.00000138258,0.0001082465,0.002283161,0.00001297922,0.000007267913,5.165911e-7,0.0008394889,0.0006270829,0.9933118,0.0003337633,0.00009641193,0.002377857],"study_design_scores_gemma":[0.0001837951,0.0001108166,0.002844691,0.00001182239,0.000009972442,0.000007661204,0.0001967664,0.0001204351,0.9799256,0.0002073017,0.01620928,0.0001718302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794405,0.00173292,0.009729478,0.0000521338,0.0003019711,0.0001077403,0.000001579965,0.000007920649,0.008625802],"genre_scores_gemma":[0.9931523,0.0001718494,0.005635282,0.00003225416,0.00006080783,0.000003589426,0.000002316645,0.00001370372,0.0009278498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01611286,"threshold_uncertainty_score":0.5135693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157507793752964,"score_gpt":0.2426753797160017,"score_spread":0.231100301778472,"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."}}