{"id":"W2971109802","doi":"10.1111/jdi.13133","title":"Distinct developmental trajectories of body mass index and diabetes risk: A 5‐year longitudinal study of Chinese adults","year":2019,"lang":"en","type":"article","venue":"Journal of Diabetes Investigation","topic":"Birth, Development, and Health","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China; Central South University; National Science Foundation","keywords":"Medicine; Body mass index; Diabetes mellitus; Confidence interval; Demography; Longitudinal study; Type 2 diabetes; Multivariate statistics; Multivariate analysis; Internal medicine; Endocrinology; Statistics; Pathology","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":[0.0007169949,0.0001858972,0.0006668745,0.0002799389,0.00005801003,0.00001329921,0.0000951423,0.00008855237,0.00003016512],"category_scores_gemma":[0.0004472628,0.0001398746,0.00006660166,0.0003145667,0.0001414344,0.0002438134,0.00003441635,0.0003075275,0.00000181045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008373462,"about_ca_system_score_gemma":0.0003560767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002715059,"about_ca_topic_score_gemma":0.00003043621,"domain_scores_codex":[0.9980406,0.0001022329,0.0009214498,0.0001749495,0.0005438546,0.0002169164],"domain_scores_gemma":[0.9980151,0.0001584405,0.001118939,0.0001216794,0.0003804242,0.0002054213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001446958,0.000250463,0.9881313,0.0006562728,0.0002368592,0.000001694475,0.002876055,0.000002299961,0.007251655,0.00005792647,0.00002345865,0.0003672616],"study_design_scores_gemma":[0.004068189,0.002036271,0.9847209,0.0005807081,0.0001097999,0.000003954055,0.001418016,0.0001424117,0.004481042,0.002314405,0.00000217301,0.0001221732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989616,0.000187131,0.000006469252,0.00006602296,0.0002226828,0.0004374982,0.00001053457,0.000008666305,0.00009937958],"genre_scores_gemma":[0.9973694,0.0002474979,0.002209332,0.00002909743,0.0001065086,0.000004679369,0.000009303913,0.00001854686,0.000005595895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003923493,"threshold_uncertainty_score":0.5703919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352883881927395,"score_gpt":0.2606063605591215,"score_spread":0.2470775217398475,"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."}}