{"id":"W4404821259","doi":"10.1111/ppe.13114","title":"Early childhood body mass index growth and school readiness: A longitudinal cohort study","year":2024,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Child Nutrition and Feeding Issues","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Institute for Clinical Evaluative Sciences; University of Ottawa; St. Michael's Hospital; Toronto Metropolitan University; SickKids Foundation; University of Toronto; Children's Hospital of Eastern Ontario; Artificial Intelligence in Medicine (Canada); University of Guelph; Public Health Ontario; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Confidence interval; Body mass index; Demography; Poisson regression; Rate ratio; Confounding; Cohort study; Pediatrics; Overweight; Longitudinal study; Cohort; Population; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002506838,0.0004781013,0.0005433521,0.0008604365,0.001375669,0.001073791,0.0006702805,0.0007510819,0.001369748],"category_scores_gemma":[0.002558246,0.0008399304,0.001132716,0.002295691,0.0003442806,0.000763615,0.0009624807,0.001859735,0.0004230884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075226,"about_ca_system_score_gemma":0.001953735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1099552,"about_ca_topic_score_gemma":0.13127,"domain_scores_codex":[0.998939,0.0002674257,0.00009900369,0.0002450346,0.0001953043,0.0002543509],"domain_scores_gemma":[0.9979824,0.0002131599,0.0004809233,0.0003478477,0.0004843182,0.0004913975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001675938,0.00009924358,0.9979939,0.00001416154,0.0001906381,0.00007899803,0.0002147846,0.00002864819,0.0001114365,0.00002789386,0.0003579305,0.0007147054],"study_design_scores_gemma":[0.00003306428,0.0001470869,0.998637,0.00003008864,0.0001191504,0.0001285517,0.0004229263,0.0001273763,0.00002469783,0.00001641628,0.0003058981,0.000007617989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955351,0.0003621349,0.0002698938,0.0001175058,0.00001775792,0.00006886517,0.003337072,0.000007052385,0.0002846149],"genre_scores_gemma":[0.99374,0.0007153316,0.0006966673,0.0001434225,0.0000207089,0.0001692355,0.003901565,0.000009588082,0.0006034517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1099552,"threshold_uncertainty_score":0.2186303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854803572362255,"score_gpt":0.2993541538037613,"score_spread":0.2808061180801388,"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."}}