{"id":"W3156141348","doi":"10.1029/2021gh000431","title":"Estimating Intra‐Urban Inequities in PM <sub>2.5</sub> ‐Attributable Health Impacts: A Case Study for Washington, DC","year":2021,"lang":"en","type":"article","venue":"GeoHealth","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; National Aeronautics and Space Administration","keywords":"Environmental health; Population; Medicine; Asthma; Air pollution; Demography; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004570859,0.0003039179,0.0007118723,0.000100123,0.0008776407,0.0001121429,0.0002056297,0.0001231798,0.0001276831],"category_scores_gemma":[0.0008925505,0.0003114776,0.00006873777,0.000716667,0.00009891238,0.0005411036,0.0002635602,0.0005000169,0.00007189076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607408,"about_ca_system_score_gemma":0.0009943923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02659362,"about_ca_topic_score_gemma":0.05138917,"domain_scores_codex":[0.9954436,0.0005425676,0.00115957,0.0006759323,0.0004587104,0.001719579],"domain_scores_gemma":[0.9977984,0.0004217391,0.0004200398,0.0005132991,0.00003750469,0.0008089503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004378161,0.006019904,0.4390844,0.006265525,0.00009276297,0.003616878,0.2102663,0.0216796,0.001394439,0.0007567369,0.1123046,0.198081],"study_design_scores_gemma":[0.03114731,0.02104322,0.462208,0.003096981,0.0001991209,0.008840743,0.2714178,0.149465,0.01010053,0.01447214,0.02229111,0.00571803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826679,0.0003991527,0.003281583,0.01132634,0.0003362325,0.001673994,0.0001010519,0.0001056931,0.0001081154],"genre_scores_gemma":[0.9805496,0.0000678865,0.00760778,0.01126407,0.000231072,0.0001393287,0.00005233704,0.00004284082,0.0000450821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.192363,"threshold_uncertainty_score":0.9999337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05687387510593481,"score_gpt":0.3491778904010131,"score_spread":0.2923040152950783,"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."}}