{"id":"W3000063114","doi":"10.1038/s41390-020-0755-3","title":"Assessing childhood health outcome inequalities with area-based socioeconomic measures: a retrospective cross-sectional study using Manitoba population data","year":2020,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Manitoba Health; George & Fay Yee Centre for Healthcare Innovation; University of Manitoba","funders":"","keywords":"Socioeconomic status; Medicine; Explanatory power; Inequality; Demography; Cross-sectional study; Index (typography); Population; Environmental health; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00925101,0.0001696207,0.0004063158,0.000265747,0.003077203,0.00120551,0.000706317,0.0001124024,0.0001244599],"category_scores_gemma":[0.001854782,0.0001564377,0.00005545281,0.0007733052,0.0001821252,0.001146325,0.0002230286,0.0007630545,0.00002386117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734498,"about_ca_system_score_gemma":0.00352718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1378605,"about_ca_topic_score_gemma":0.03073522,"domain_scores_codex":[0.993942,0.001658761,0.0007275269,0.0007343968,0.001956798,0.0009805107],"domain_scores_gemma":[0.9976322,0.0007946643,0.0002676462,0.0004211484,0.0004023383,0.00048199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003604299,0.0001345941,0.9932678,0.0001140048,0.00001650147,0.000004882118,0.005583977,0.0001432225,4.343392e-8,0.0004060228,0.0001628075,0.0001300401],"study_design_scores_gemma":[0.0006724113,0.0001568209,0.9637584,0.000007645544,0.00001021101,3.816342e-7,0.03428686,0.000700044,6.399176e-8,0.0001604753,0.00008783482,0.000158834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931222,0.0002077908,0.0003595562,0.004377947,0.0002259917,0.001178106,0.0001023985,0.0001021916,0.0003237964],"genre_scores_gemma":[0.9963478,0.00005583853,0.0004762123,0.0007630765,0.002204651,0.00002966759,0.00007058551,0.00003089232,0.0000213087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1071253,"threshold_uncertainty_score":0.9998313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5237464088224199,"score_gpt":0.5409047287309255,"score_spread":0.01715831990850569,"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."}}