{"id":"W3079266122","doi":"10.1093/pch/pxaa068.113","title":"114 Distributional Decomposition: A Novel Method for Understanding Inequities in Child Growth, Behavior and Development","year":2020,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact; Institute for Work & Health; University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Demography; Medicine; Population; Body mass index; Overweight; Child Behavior Checklist; Pediatrics; Standard score; Cohort; Environmental health; Clinical psychology; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01080052,0.001108203,0.001122956,0.005147444,0.0008299351,0.002266376,0.001279917,0.0009391386,0.006902802],"category_scores_gemma":[0.03822646,0.0004790652,0.002150194,0.004559997,0.001113607,0.002153902,0.003136061,0.002411605,0.00111791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018946,"about_ca_system_score_gemma":0.001942807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004104224,"about_ca_topic_score_gemma":0.002749334,"domain_scores_codex":[0.9948172,0.003061331,0.0003610912,0.0008021831,0.0007283643,0.0002298409],"domain_scores_gemma":[0.9826487,0.01195766,0.001204565,0.002265201,0.001576698,0.0003470592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006264854,0.0003693367,0.06524312,0.0004657043,0.0009006775,0.0003584534,0.002021914,0.05336686,0.003515034,0.1912027,0.01601087,0.6659189],"study_design_scores_gemma":[0.0001020379,0.0001972047,0.02083284,0.000229432,0.0001486916,0.0004423222,0.001154193,0.7044377,0.001495467,0.2514113,0.01943509,0.0001136245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01240696,0.0001616652,0.9846911,0.0001715272,0.00005801311,0.0001206199,0.0005709292,0.0004564333,0.001362745],"genre_scores_gemma":[0.1923547,0.0002809747,0.8021139,0.0001478868,0.0001263489,0.0009879137,0.001852284,0.000365917,0.001770155],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01080052,"threshold_uncertainty_score":0.05711925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.226945796659983,"score_gpt":0.4529323048971525,"score_spread":0.2259865082371695,"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."}}