{"id":"W2162726810","doi":"10.1111/rssc.12109","title":"Estimating Controlled Direct Effects of Restrictive Feeding Practices in the ‘Early Dieting in Girls’ Study","year":2015,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series C (Applied Statistics)","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Child Health and Human Development; National Institute on Drug Abuse; National Institutes of Health","keywords":"Confounding; Propensity score matching; Logistic regression; Mediation; Dieting; Weighting; Causal inference; Econometrics; Inverse probability weighting; Statistics; Curse of dimensionality; Psychology; Regression; Mathematics; Medicine; Obesity; Weight loss; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005629061,0.0002211128,0.0008834974,0.00006871781,0.0007199689,0.00004785985,0.0004878186,0.0001596509,0.00002260508],"category_scores_gemma":[0.01786469,0.0001360136,0.0001042604,0.0004663807,0.0002174352,0.0001704581,0.0001922405,0.001889402,0.000004862087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003794441,"about_ca_system_score_gemma":0.0005353492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619228,"about_ca_topic_score_gemma":0.0007221138,"domain_scores_codex":[0.9945043,0.001968112,0.001808207,0.0002094769,0.0009858855,0.0005240612],"domain_scores_gemma":[0.9807683,0.01555579,0.00287954,0.0002229072,0.0004148383,0.0001586594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.01019006,0.003054871,0.3683634,0.002560086,0.0007031867,0.0001888819,0.4498355,0.01613919,0.00004267233,0.1190597,0.02799955,0.001862798],"study_design_scores_gemma":[0.01742272,0.002165105,0.7760519,0.0008065043,0.0005424278,0.0000044558,0.137554,0.02384391,0.000004052252,0.0409785,0.0002783718,0.0003480244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606221,0.0002475671,0.02383189,0.002215102,0.002465469,0.005234199,0.000335468,0.00002773446,0.005020422],"genre_scores_gemma":[0.9573206,0.00001322117,0.04203232,0.0002102217,0.0002596902,0.0000967765,0.000003909409,0.00001997118,0.00004326714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4076885,"threshold_uncertainty_score":0.9904082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045550981707374,"score_gpt":0.4351523340801294,"score_spread":0.3305972359093921,"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."}}