{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01255806,0.000353151,0.0004548825,0.0002680779,0.001039095,0.001576339,0.0006260321,0.001376415,0.006688706],"category_scores_gemma":[0.03876626,0.0003882026,0.0005344564,0.000281445,0.001391452,0.001066203,0.0008795442,0.00185615,0.0005487169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005229982,"about_ca_system_score_gemma":0.000987886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003905081,"about_ca_topic_score_gemma":0.003843367,"domain_scores_codex":[0.9935481,0.005197512,0.0002368362,0.000400261,0.0003819323,0.0002353037],"domain_scores_gemma":[0.9392823,0.05033396,0.005958104,0.002789502,0.000749879,0.0008863154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.07224048,0.3737972,0.2864887,0.002169573,0.002338425,0.0004946686,0.03706717,0.006122113,0.03520821,0.01102183,0.006387326,0.1666643],"study_design_scores_gemma":[0.01533114,0.182056,0.6808386,0.0007625978,0.002910026,0.0002779518,0.02964756,0.0207871,0.02482825,0.01716239,0.02490356,0.0004949605],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964557,0.00004541785,0.0003678621,0.0004812099,0.00002334764,0.0001484425,0.00008085187,0.000005393721,0.002391834],"genre_scores_gemma":[0.9958487,0.0001748469,0.001342707,0.0007478767,0.00003245409,0.0003781736,0.0001179575,0.000006617033,0.001350787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01255806,"threshold_uncertainty_score":0.06641418,"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."}}