{"id":"W2138888843","doi":"10.1177/003335491012500203","title":"How Healthy Could a State Be?","year":2010,"lang":"en","type":"article","venue":"Public Health Reports","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Demography; Socioeconomic status; Baseline (sea); Population; Medicine; Population health; Regression analysis; Environmental health; Gerontology; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008043921,0.0001664561,0.000408964,0.0001433559,0.001663662,0.000524471,0.0002125692,0.0001847493,0.000303323],"category_scores_gemma":[0.002286375,0.0001576728,0.00009307806,0.0004706539,0.0002644677,0.0005874558,0.00005393216,0.0006848988,0.000008266758],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003091058,"about_ca_system_score_gemma":0.00949976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04939324,"about_ca_topic_score_gemma":0.09529603,"domain_scores_codex":[0.9955904,0.0003261478,0.000749182,0.000456677,0.0009335335,0.001944008],"domain_scores_gemma":[0.9959099,0.0002293911,0.0005895735,0.0005377462,0.0002773219,0.002456111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000196969,0.0004093248,0.2939574,0.0007685788,0.00003362151,0.0003679394,0.04174224,4.383665e-7,0.000004067474,0.1932953,0.2286933,0.2407081],"study_design_scores_gemma":[0.0001344885,0.00003479438,0.03218184,0.000008465184,9.928419e-7,0.00003389172,0.002077422,0.000004510687,8.924028e-7,0.001132002,0.9642462,0.0001445307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.148714,0.0003247861,0.0002046207,0.8284478,0.004731037,0.0007945775,0.000009395439,0.0003109468,0.01646288],"genre_scores_gemma":[0.9066023,0.0006455332,0.0006151576,0.08017374,0.000815784,0.00009731255,0.00001997553,0.00002839173,0.01100184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7578883,"threshold_uncertainty_score":0.9996361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08904534151471728,"score_gpt":0.3978728291636525,"score_spread":0.3088274876489353,"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."}}