{"id":"W3143974076","doi":"10.1016/j.socscimed.2021.113884","title":"How information about race-based health disparities affects policy preferences: Evidence from a survey experiment about the COVID-19 pandemic in the United States","year":2021,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"Canadian Institute for Advanced Research","keywords":"Race (biology); Pandemic; Coronavirus disease 2019 (COVID-19); Public health; Perception; Health equity; White (mutation); Public policy; Ethnic group; Public opinion; Demographic economics; Medicine; Political science; Demography; Psychology; Sociology; Politics; Economics; Gender studies; Nursing; Disease","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":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.008836065,0.0001734189,0.0003241161,0.0002087494,0.002486765,0.000406288,0.001132115,0.0001185105,0.00009405022],"category_scores_gemma":[0.01081049,0.0001020137,0.00005144341,0.003729607,0.005058198,0.0007759494,0.00006623274,0.0003535563,0.000005041492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108593,"about_ca_system_score_gemma":0.004379018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4218513,"about_ca_topic_score_gemma":0.1169289,"domain_scores_codex":[0.9940652,0.00308842,0.0003567224,0.0003288173,0.0014343,0.0007266015],"domain_scores_gemma":[0.9960322,0.002792083,0.0003251093,0.0002502176,0.0003390891,0.0002612465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000640652,0.00006265591,0.1337857,0.00002495071,0.000009980762,0.000002684503,0.8329044,0.00001262469,0.0001278603,0.01181909,0.01208137,0.009104636],"study_design_scores_gemma":[0.001259342,0.0002755455,0.5141897,0.0003050363,0.00001511772,0.000001627249,0.3640382,0.0001164657,0.00002705924,0.008886899,0.1105734,0.0003116369],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6970257,0.001631498,0.0006690886,0.2981782,0.0007625084,0.0006037631,0.00004724034,0.00006785384,0.001014163],"genre_scores_gemma":[0.9497113,0.001636376,0.000006545099,0.04766351,0.0006601019,0.0001006503,0.0001435665,0.000004445271,0.00007349476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4688662,"threshold_uncertainty_score":0.9988118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624226872045305,"score_gpt":0.451934314141446,"score_spread":0.2895116269369155,"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."}}