{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003556589,0.001171347,0.0009562683,0.001904379,0.007177385,0.01164489,0.001478783,0.005992511,0.1281642],"category_scores_gemma":[0.01336636,0.000511006,0.0008042695,0.001375334,0.007308608,0.01040976,0.01114776,0.009169488,0.07597058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588043,"about_ca_system_score_gemma":0.003661758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003530391,"about_ca_topic_score_gemma":0.007019436,"domain_scores_codex":[0.9963702,0.001025221,0.0001208225,0.0005703457,0.001241926,0.0006715585],"domain_scores_gemma":[0.9944577,0.0007996157,0.0002390471,0.0006147174,0.001484312,0.002404633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008077228,0.0000680938,0.00112044,0.0001172679,0.00001790038,0.0004017718,0.002431524,0.00004928224,0.000553401,0.09194864,0.8040845,0.09912631],"study_design_scores_gemma":[0.000003797414,0.00001352664,0.0002088037,0.00008285914,0.000002455686,0.0001669328,0.0009608268,0.00001884287,0.00005979355,0.006031343,0.9924446,0.000006302596],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00919693,0.0433561,0.005855206,0.2995467,0.05300898,0.0001252885,0.000458602,0.0008851482,0.5875672],"genre_scores_gemma":[0.03884069,0.01638358,0.002914381,0.1332008,0.01157343,0.000143924,0.0005571745,0.000723573,0.7956625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1281642,"threshold_uncertainty_score":0.4287519,"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."}}