{"id":"W2999927634","doi":"10.1093/aje/161.supplement_1.s97a","title":"386: What's New with the Old: Aging as the Future of Population Epidemiology","year":2005,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Epidemiology; Medicine; Gerontology; Demography; Pathology; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02420475,0.001618977,0.002517844,0.004442058,0.003320434,0.01016329,0.002566816,0.01451323,0.011171],"category_scores_gemma":[0.05619911,0.00114299,0.001332446,0.003180028,0.00889412,0.02903088,0.005135251,0.01573837,0.003345354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004102252,"about_ca_system_score_gemma":0.00831699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006768331,"about_ca_topic_score_gemma":0.02436408,"domain_scores_codex":[0.9879988,0.007095686,0.00101421,0.0005862992,0.002749787,0.0005552611],"domain_scores_gemma":[0.9474285,0.02210052,0.00423255,0.00242775,0.0114074,0.01240333],"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":[0.00007975465,0.00007269767,0.004964797,0.0008717505,0.00007048232,0.0002849225,0.0007959782,0.0001174702,0.0001792325,0.007495237,0.8945176,0.09055001],"study_design_scores_gemma":[0.0001041337,0.00009304747,0.01056948,0.004760567,0.0001395897,0.001012742,0.004663392,0.0005375259,0.0001577041,0.06390676,0.9139026,0.0001523888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004158683,0.1884875,0.0009646377,0.7629367,0.04429625,0.00001838512,0.0001332106,0.00006043083,0.002687138],"genre_scores_gemma":[0.01942833,0.2050537,0.004873307,0.5385481,0.2228302,0.0001140933,0.0002379664,0.000101254,0.008813027],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02420475,"threshold_uncertainty_score":0.1280085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204042426862755,"score_gpt":0.3200915810175396,"score_spread":0.298051156748912,"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."}}