{"id":"W3183403183","doi":"10.1001/jamanetworkopen.2021.18299","title":"Anti-Immigrant Rhetoric and Policy as Manifestations of Structural Racism—Implications for Advancing Health Equity","year":2021,"lang":"en","type":"letter","venue":"JAMA Network Open","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"School of Medicine, New York University; York University; MedStar Health Research Institute","keywords":"Rhetoric; Immigration; Equity (law); Racism; Sociology; Religious studies; Criminology; Political science; Philosophy; Theology; Gender studies; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01267832,0.0005208342,0.0007008314,0.0007269117,0.01319833,0.009162853,0.002759719,0.06855605,0.008532814],"category_scores_gemma":[0.03201057,0.000491499,0.0008575334,0.0006909763,0.02055586,0.01208801,0.005979338,0.05300307,0.002066506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009029798,"about_ca_system_score_gemma":0.01623658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01402642,"about_ca_topic_score_gemma":0.02784213,"domain_scores_codex":[0.9911717,0.004799455,0.0003642455,0.0006298872,0.001690079,0.001344645],"domain_scores_gemma":[0.9701266,0.02260052,0.001300685,0.0006607415,0.001967071,0.003344409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006236235,0.0001400053,0.001722076,0.0001340706,0.00002018648,0.002746081,0.008325565,0.0001330885,0.0003765758,0.1491275,0.8094144,0.02779814],"study_design_scores_gemma":[0.00009144966,0.0000728308,0.00177691,0.0007626553,0.00002148829,0.001408368,0.01645759,0.0004823351,0.000374713,0.1359035,0.8425704,0.00007781146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005003423,0.0005774592,0.00002996871,0.9950303,0.001614321,0.000001558444,0.000002434709,0.000002671718,0.002240879],"genre_scores_gemma":[0.01306139,0.000895541,0.0001407903,0.9759069,0.006307234,0.00001524654,0.00000318609,0.000009183297,0.003660527],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06855605,"threshold_uncertainty_score":0.06705022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05994813839639708,"score_gpt":0.4299106539496619,"score_spread":0.3699625155532648,"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."}}