{"id":"W2945314931","doi":"10.1002/ajhb.23253","title":"Life course associations of height, weight, fatness, grip strength, and all‐cause mortality for high socioeconomic status Guatemalans","year":2019,"lang":"en","type":"article","venue":"American Journal of Human Biology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; NIHR Leicester Biomedical Research Centre; Loughborough University; Medical Research Council Canada; University of Leicester; Bill and Melinda Gates Foundation; University Hospitals of Leicester NHS Trust; National Institute for Health and Care Research","keywords":"Body mass index; Demography; Medicine; Socioeconomic status; Life course approach; Logistic regression; Grip strength; Obesity; Gerontology; Physical therapy; Internal medicine; Psychology; Environmental health; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004840335,0.0001494175,0.0008837237,0.0001228433,0.00007925711,0.000007176305,0.00008963514,0.00009249571,0.0001580198],"category_scores_gemma":[0.00006790723,0.0001186041,0.0001106586,0.00004933544,0.0003711653,0.00007093631,0.00002343932,0.0002428851,0.000005099589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054449,"about_ca_system_score_gemma":0.0007558339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002565287,"about_ca_topic_score_gemma":0.0001539192,"domain_scores_codex":[0.99846,0.0001120352,0.0007991784,0.0001874929,0.00009421271,0.0003470813],"domain_scores_gemma":[0.9977135,0.0001853646,0.001372387,0.0001700481,0.000248135,0.0003105757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009850667,0.0002223972,0.9575401,0.00006983525,0.00182136,0.000004803892,0.0006654822,7.051908e-7,0.002305924,0.0348858,0.001680487,0.0007046178],"study_design_scores_gemma":[0.002401928,0.003426915,0.9808685,0.00003727445,0.0005636539,0.00003859689,0.001051872,0.000006888409,0.0002550562,0.01028482,0.0009071076,0.0001573803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996815,0.0003779816,0.00003811217,0.001854294,0.0002935846,0.00026053,0.0001234148,0.00000919732,0.0002278716],"genre_scores_gemma":[0.9918516,0.005811603,0.0008914106,0.001075608,0.000233025,0.000005012681,0.00009330338,0.00001796061,0.00002042282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02460098,"threshold_uncertainty_score":0.4836534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03663878585046172,"score_gpt":0.3560976184843797,"score_spread":0.319458832633918,"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."}}