{"id":"W4408343295","doi":"10.1002/oby.24189","title":"<scp>B</scp> <scp>MI</scp> ‐for‐age percentile curves for older adults","year":2025,"lang":"en","type":"article","venue":"Obesity","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Public Health Ontario; University of Toronto","funders":"National Cancer Institute","keywords":"Percentile; Overweight; Medicine; Demography; Cohort; Population; Obesity; Gerontology; Body mass index; Young adult; Statistics; Mathematics; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006487295,0.000964833,0.0006549234,0.00841552,0.0004569392,0.00188589,0.001055509,0.0007870178,0.005226761],"category_scores_gemma":[0.02863015,0.0003006771,0.001530227,0.005585037,0.000444356,0.001055335,0.001316563,0.001048498,0.001514388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190867,"about_ca_system_score_gemma":0.002779291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1692932,"about_ca_topic_score_gemma":0.1298855,"domain_scores_codex":[0.9975919,0.0005031569,0.0001932615,0.0003457029,0.001046712,0.0003193572],"domain_scores_gemma":[0.9867054,0.00293613,0.002553907,0.001303206,0.0059277,0.000573791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008354053,0.00007505408,0.7848727,0.0004989384,0.0007642317,0.0001652068,0.001182424,0.01349509,0.0007861929,0.006026442,0.03930943,0.1519888],"study_design_scores_gemma":[0.00003302651,0.0002194524,0.9506909,0.0003138595,0.0001418058,0.000289749,0.001025256,0.01458369,0.0005453973,0.00339955,0.02865508,0.0001022194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7333692,0.01356795,0.08848531,0.002439981,0.0004111886,0.0006589218,0.09924629,0.005573031,0.05624819],"genre_scores_gemma":[0.9425613,0.001737194,0.02382219,0.0002700726,0.00009222206,0.0003207629,0.02695055,0.0005571476,0.003688518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1692932,"threshold_uncertainty_score":0.3366156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259491463445315,"score_gpt":0.2680029656603259,"score_spread":0.2554080510258727,"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."}}