{"id":"W2600856364","doi":"10.18632/aging.101215","title":"A laboratory test of evolutionary aging theories","year":2017,"lang":"en","type":"letter","venue":"Aging","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Test (biology); Evolutionary biology; Biology; Ecology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001941381,0.0003222717,0.0003238101,0.00008393676,0.0002244794,0.00005709687,0.0006379134,0.0005330273,0.00002806003],"category_scores_gemma":[0.0002267872,0.0003393739,0.0001470213,0.0000418518,0.0003263697,0.000006161447,0.0003006329,0.0005525239,0.00001750616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002233921,"about_ca_system_score_gemma":0.0002370602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006129107,"about_ca_topic_score_gemma":0.0000102162,"domain_scores_codex":[0.9984881,0.00007581745,0.0002834411,0.0005140258,0.0002512075,0.0003873668],"domain_scores_gemma":[0.9982415,0.00004800074,0.0003506533,0.0010928,0.0002223303,0.00004469471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004777208,0.00003668001,0.009316584,0.0004025876,0.0001662201,0.0001060598,0.0004228733,0.00003285581,0.09007659,0.0000398189,0.898995,0.0003998977],"study_design_scores_gemma":[0.0002820595,0.0001053705,0.001744641,0.0001916381,0.000116125,0.00003521008,0.00006039938,0.00003376869,0.06662805,0.0008203352,0.929363,0.0006194143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2609834,0.06360789,0.01168041,0.6255238,0.009166284,0.002130904,0.002858836,0.0003980123,0.0236504],"genre_scores_gemma":[0.8492656,0.0007678449,0.002428686,0.1290055,0.009955434,0.00003198696,0.001163196,0.0002014908,0.007180298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5882821,"threshold_uncertainty_score":0.9999058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007643083035557326,"score_gpt":0.2324296523177144,"score_spread":0.224786569282157,"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."}}