{"id":"W4310522584","doi":"10.1186/s12963-022-00299-y","title":"When the technical is also normative: a critical assessment of measuring health inequalities using the concentration index-based indices","year":2022,"lang":"en","type":"review","venue":"Population Health Metrics","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Population Health Research Institute; McMaster University","funders":"Government of Ontario; Ontario Ministry of Health and Long-Term Care; McMaster University","keywords":"Normative; Medicine; Public health; Health services research; Index (typography); Inequality; Epidemiology; Health policy; Quality of Life Research; Environmental health; Nursing; Pathology; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4182922,0.002459866,0.003764194,0.01727444,0.004785776,0.01819053,0.006185312,0.009535799,0.00336679],"category_scores_gemma":[0.7257974,0.001698888,0.003113759,0.01064654,0.03626816,0.03445937,0.008431974,0.01628403,0.0007637634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01639599,"about_ca_system_score_gemma":0.01650341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004082349,"about_ca_topic_score_gemma":0.003052144,"domain_scores_codex":[0.6195173,0.2889824,0.02580257,0.01186708,0.05133782,0.002492814],"domain_scores_gemma":[0.1409724,0.7489597,0.02367772,0.01978052,0.06545466,0.001154997],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003386961,0.00007799829,0.01080981,0.01158475,0.00108926,0.0006252283,0.0196205,0.003803297,0.0007972862,0.7566606,0.04069673,0.1538957],"study_design_scores_gemma":[0.00007208743,0.0002313682,0.005439077,0.02493431,0.0005949329,0.0007518319,0.00968829,0.007021621,0.00219468,0.8387048,0.1100174,0.0003496089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01511893,0.1518683,0.3148909,0.4741911,0.01302773,0.002395162,0.0009702308,0.0002427697,0.02729479],"genre_scores_gemma":[0.4472321,0.06247307,0.3771051,0.0848228,0.01784551,0.006982286,0.0005103993,0.0005583387,0.002470488],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5817078,"threshold_uncertainty_score":0.7173493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4000261175159344,"score_gpt":0.4654841306084744,"score_spread":0.06545801309254001,"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."}}