{"id":"W4399143293","doi":"10.1016/j.annepidem.2024.05.009","title":"Prospective associations between neighborhood features and body mass index in Montreal adolescents.","year":2024,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Body mass index; Anthropometry; Demography; Medicine; Environmental health; Geography; Built environment; Population; Land use; Census; Vegetation (pathology); Walkability; Level design; Multilevel model; Statistics; Ecology; Physical activity","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":[0.0002681776,0.0002636201,0.0001784982,0.0006267315,0.0006388805,0.0005945329,0.0004570403,0.0003802873,0.002693955],"category_scores_gemma":[0.001023655,0.0002675619,0.0003219475,0.0008335928,0.0002198668,0.0002793121,0.0003944135,0.0004946643,0.0002241636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956952,"about_ca_system_score_gemma":0.00107265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6651393,"about_ca_topic_score_gemma":0.7580974,"domain_scores_codex":[0.9998257,0.00003158856,0.000008400674,0.00003967537,0.00003790815,0.00005683495],"domain_scores_gemma":[0.9995252,0.00003387551,0.0001464316,0.00002625447,0.0001047048,0.0001635016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004689494,0.00002644152,0.998923,0.000003488681,0.00002982868,0.00002218926,0.00005008826,0.00002705236,0.00007270431,0.00002035655,0.0001846471,0.0005931746],"study_design_scores_gemma":[0.000001382353,0.00001718588,0.9997291,0.000002350195,0.000008545781,0.000009316663,0.00005407151,0.00006498738,0.00001007486,0.000003775086,0.00009779663,0.000001330811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974239,0.0003764313,0.00003772994,0.0000824648,0.000006003108,0.00001034335,0.001200697,0.000006355092,0.0008560526],"genre_scores_gemma":[0.9987996,0.0001214949,0.00005085518,0.00001904781,0.000005558877,0.00000916455,0.000489383,0.000001917512,0.0005030097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3348607,"threshold_uncertainty_score":0.6736655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0699853613861713,"score_gpt":0.3984707959481439,"score_spread":0.3284854345619726,"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."}}