{"id":"W4401543257","doi":"10.1177/2752535x241273955","title":"Health Equity in All Urban Policies: A Case Study of Richmond, California","year":2024,"lang":"en","type":"article","venue":"Community Health Equity Research & Policy","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Richmond Hospital","funders":"Robert Wood Johnson Foundation","keywords":"Health equity; Equity (law); General partnership; Government (linguistics); Local government; Public relations; Public health; Public administration; Community health; Economic growth; Population health; Health policy; Business; Population; Political science; Environmental health; Medicine; Nursing; Economics; Finance","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":[0.001976467,0.0003084563,0.0003996588,0.001181093,0.01920496,0.004176816,0.001994526,0.001764373,0.003417903],"category_scores_gemma":[0.003013168,0.0004019191,0.0002761447,0.001756093,0.003721046,0.00106244,0.003566148,0.002252604,0.0001652516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02133054,"about_ca_system_score_gemma":0.01557401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6233283,"about_ca_topic_score_gemma":0.8092058,"domain_scores_codex":[0.997667,0.00110905,0.00005694365,0.0002123427,0.0002004421,0.0007542942],"domain_scores_gemma":[0.9976299,0.0009828914,0.0002460218,0.0001280332,0.0002959724,0.0007171007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003122183,0.002555096,0.1725007,0.0005684918,0.000147025,0.02757728,0.6716446,0.002509829,0.001835115,0.0304017,0.03389323,0.05605466],"study_design_scores_gemma":[0.00004199597,0.0003521854,0.1073937,0.0004557295,0.00009094187,0.001763478,0.7856918,0.001036529,0.0005721812,0.001025052,0.1014997,0.00007668034],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738081,0.0007016133,0.0002646072,0.003544027,0.00002226543,0.0001152601,0.0001066012,0.00002103492,0.02141645],"genre_scores_gemma":[0.9899533,0.0008982352,0.0006858445,0.001356217,0.00001792482,0.0001237327,0.00009405254,0.00001193683,0.006858746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6233283,"threshold_uncertainty_score":0.75778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4535328458691266,"score_gpt":0.5873857897314358,"score_spread":0.1338529438623093,"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."}}