{"id":"W2122353806","doi":"10.1007/s12062-011-9035-7","title":"Association of Birth Weight with Health and Long-Term Survival up to Middle and Old Ages in China","year":2010,"lang":"en","type":"article","venue":"Journal of Population Ageing","topic":"Birth, Development, and Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Aging","funders":"National Institute on Aging","keywords":"Demography; Medicine; Birth weight; Confounding; Logistic regression; Odds ratio; Multivariate analysis; Low birth weight; Odds; Gerontology; Pregnancy; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0008560707,0.00007166285,0.0003004836,0.0002547989,0.00005306752,0.00001461368,0.00002312526,0.00005761336,0.00001187152],"category_scores_gemma":[0.0001050943,0.00005489296,0.00001756023,0.000143391,0.000008739089,0.0001276277,0.00001038702,0.000278582,2.566808e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009690411,"about_ca_system_score_gemma":0.00009932957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002876963,"about_ca_topic_score_gemma":0.003272136,"domain_scores_codex":[0.9990163,0.00004840003,0.0004449547,0.00008508096,0.0002693571,0.0001358573],"domain_scores_gemma":[0.9990792,0.00003249207,0.0005589354,0.00005355126,0.00008338923,0.0001924646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001232949,0.00002809044,0.9915854,0.0002086335,0.0000202975,0.00001569424,0.002989765,0.000002116365,0.000442177,0.000512042,0.00002340341,0.00404912],"study_design_scores_gemma":[0.001431835,0.0002932381,0.9973044,0.0004478446,0.00001237699,0.00004924244,0.0001137959,0.00002528987,0.00004041816,0.0002007121,0.00003030556,0.00005048608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965844,0.0001492392,0.0001108478,0.002724907,0.0002378314,0.0001409974,0.000001137884,0.000004590385,0.00004605726],"genre_scores_gemma":[0.9967008,0.001257543,0.001536851,0.0002702902,0.0001339585,5.060615e-7,0.000005410674,0.000009257283,0.00008541625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005719089,"threshold_uncertainty_score":0.223847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158322554947456,"score_gpt":0.301640873314423,"score_spread":0.2800576477649485,"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."}}