{"id":"W2947636554","doi":"10.1186/s12939-019-0949-7","title":"Correction to: The health equity measurement framework: a comprehensive model to measure social inequities in health","year":2019,"lang":"en","type":"erratum","venue":"International Journal for Equity in Health","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Government of Alberta; Alberta Health","funders":"","keywords":"Health services research; Social policy; Health equity; Health policy; Public health; Equity (law); Measure (data warehouse); Social determinants of health; Health informatics; Public economics; Political science; Sociology; Medicine; Economics; Computer science; Data mining; Nursing; Law","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":[0.008375125,0.002769754,0.002362384,0.005517468,0.005312719,0.006016206,0.00468978,0.01092098,0.09300394],"category_scores_gemma":[0.138051,0.001608043,0.002404097,0.004613304,0.003521571,0.003763518,0.003278408,0.02116431,0.05732902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00661107,"about_ca_system_score_gemma":0.01407561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06663001,"about_ca_topic_score_gemma":0.06769118,"domain_scores_codex":[0.9905179,0.001823418,0.00195434,0.001028572,0.00387023,0.0008055229],"domain_scores_gemma":[0.93134,0.01899965,0.002600655,0.004162509,0.04025195,0.002645213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001205235,0.000002695411,0.00003379197,0.0000469146,0.00000325102,0.00003948677,0.00001508084,0.00001370313,0.00000648356,0.0005503074,0.9974852,0.001791031],"study_design_scores_gemma":[0.00006766445,0.00001438459,0.0009420499,0.0006205075,0.00003180443,0.0002714962,0.0001337654,0.0002750698,0.0001609914,0.003122206,0.9943026,0.00005743818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0000712369,0.0005999687,0.0006495848,0.07979259,0.912133,0.0000447449,0.002836573,0.0003187603,0.003553517],"genre_scores_gemma":[0.0100103,0.005800293,0.007797972,0.2046554,0.4547127,0.0007671732,0.007754301,0.002158958,0.3063428],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09300394,"threshold_uncertainty_score":0.3111292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3810606968993123,"score_gpt":0.5661516093366629,"score_spread":0.1850909124373505,"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."}}