{"id":"W4289711348","doi":"10.1002/oby.23510","title":"<scp>BMI</scp> trajectories, morbidity, and mortality in England: a two‐step approach to estimating consequences of changes in <scp>BMI</scp>","year":2022,"lang":"en","type":"article","venue":"Obesity","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"School for Public Health Research; Medical Research Council; Medical Research Council Canada; National Institute for Health and Care Research; Department of Health and Social Care; Government of the United Kingdom; University College London; National Institute for Health and Care Excellence","keywords":"Medicine; Overweight; Demography; Obesity; Body mass index; Health and Retirement Study; Gerontology; Stroke (engine); Asthma; Health Survey for England; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003217997,0.0003328517,0.0004963133,0.001675286,0.0004543688,0.001196651,0.000817553,0.0006722144,0.001746161],"category_scores_gemma":[0.01346018,0.000473953,0.001582186,0.001748151,0.0003758467,0.0009928487,0.00212549,0.001088598,0.000331045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002206694,"about_ca_system_score_gemma":0.002023061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2463541,"about_ca_topic_score_gemma":0.2266893,"domain_scores_codex":[0.9985441,0.0007173702,0.0002272406,0.0002330967,0.0001633118,0.0001149423],"domain_scores_gemma":[0.9967526,0.001073549,0.0009260982,0.0003604451,0.0006128288,0.000274406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001901867,0.00005372028,0.9836186,0.0001447181,0.0002548994,0.000187577,0.001454033,0.00368052,0.0002827705,0.0006966831,0.0008018361,0.008634641],"study_design_scores_gemma":[0.00002067715,0.00009832408,0.9792759,0.00008913303,0.00006209814,0.000123014,0.001080208,0.01783327,0.0000967829,0.0006317276,0.0006642444,0.00002456382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836307,0.0005159201,0.008605284,0.0007775642,0.00001890901,0.0002029021,0.005490741,0.00004374694,0.0007141645],"genre_scores_gemma":[0.9841948,0.0002749958,0.009767628,0.0001034156,0.00001026591,0.0003010886,0.004409984,0.00001049894,0.0009274357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2463541,"threshold_uncertainty_score":0.4898404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280187812773629,"score_gpt":0.2685241754525255,"score_spread":0.2405053941751626,"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."}}