{"id":"W3012322528","doi":"10.1002/osp4.414","title":"Latent class analysis of obesity‐related characteristics and associations with body mass index among young children","year":2020,"lang":"en","type":"article","venue":"Obesity Science & Practice","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; University of Toronto; St. Michael's Hospital; McMaster University; Impact; Institute for Clinical Evaluative Sciences; Public Health Ontario; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Overweight; Medicine; Obesity; Latent class model; Body mass index; Odds ratio; Confidence interval; Demography; Multinomial logistic regression; Odds; Population; Logistic regression; Gerontology; Environmental health; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001005256,0.0002453439,0.0007406261,0.0003188653,0.0003926487,0.0001500762,0.0003075089,0.000131235,0.00003938364],"category_scores_gemma":[0.002821294,0.0002165021,0.0001267221,0.004162794,0.0008210871,0.001621602,0.0002257558,0.0006295763,0.00001982561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208218,"about_ca_system_score_gemma":0.0003311574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000824614,"about_ca_topic_score_gemma":0.00007120368,"domain_scores_codex":[0.9969718,0.0001679011,0.0004088285,0.0007115713,0.001305343,0.0004345029],"domain_scores_gemma":[0.9971935,0.0003802231,0.0007371954,0.0004298831,0.0006667216,0.0005925334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005826796,0.00227917,0.9929907,0.00002334651,0.0007828857,0.00003002049,0.0005173485,0.00005628035,0.00253941,0.0006523448,0.00001607974,0.00005418097],"study_design_scores_gemma":[0.0005950422,0.0003604133,0.9795635,0.00002194569,0.003870456,0.00001622317,0.0001908318,0.01452828,0.0005655605,0.00004084518,0.00001859769,0.0002283333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953517,0.00001494495,0.0003055907,0.002026127,0.0000454434,0.0004561942,0.0000616753,0.00008575077,0.001652554],"genre_scores_gemma":[0.9987398,0.0000349304,0.0005360901,0.0004802952,0.00005573075,0.000005199905,0.00005966705,0.00001711849,0.00007117179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.014472,"threshold_uncertainty_score":0.8828699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000512606776023,"score_gpt":0.2580818942221342,"score_spread":0.248076768154374,"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."}}