{"id":"W2144394907","doi":"10.1093/geronb/gbr039","title":"Linking Biological and Cognitive Aging: Toward Improving Characterizations of Developmental Time","year":2011,"lang":"en","type":"article","venue":"The Journals of Gerontology Series B","topic":"Birth, Development, and Health","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Victoria","funders":"National Institute on Aging; Canada Research Chairs; National Institutes of Health; Michael Smith Health Research BC; Pennsylvania State University; University of Pennsylvania","keywords":"Proxy (statistics); Cognition; Psychology; Life span; Cognitive psychology; Developmental psychology; Computer science; Biology; Evolutionary biology; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004578863,0.0001060094,0.0003808922,0.00008032448,0.0001267191,0.000004161935,0.00008078176,0.0001079621,0.0003271834],"category_scores_gemma":[0.0001201265,0.00006801821,0.00003681275,0.00007176368,0.0004123737,0.0001021594,0.000072865,0.0001942596,0.000004933413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001751401,"about_ca_system_score_gemma":0.0001602813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001978708,"about_ca_topic_score_gemma":0.00001434982,"domain_scores_codex":[0.9990726,0.00008164965,0.0004337021,0.0001157981,0.00009119861,0.0002051077],"domain_scores_gemma":[0.9992721,0.00007588849,0.0003463739,0.00006521423,0.0001612782,0.00007915602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001753203,0.0003222869,0.6537734,0.0003727361,0.000654247,0.00004754611,0.05855511,2.857962e-8,0.2420963,0.005078403,0.00006623514,0.03728058],"study_design_scores_gemma":[0.0007542644,0.0005531678,0.9589622,0.0002959362,0.0000993696,0.001023438,0.00366944,0.000005171403,0.03227134,0.002173972,0.0000834461,0.0001082807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933838,0.0008723109,0.0004163827,0.001723489,0.00007116881,0.0001863694,0.000008003311,0.00001266146,0.003325836],"genre_scores_gemma":[0.9880549,0.007201829,0.004123129,0.0005098744,0.00004368317,0.000004086351,0.000008943135,0.000008080233,0.00004542763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3051888,"threshold_uncertainty_score":0.3582429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234788350486399,"score_gpt":0.3239113203676136,"score_spread":0.2004324853189738,"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."}}