{"id":"W3041454297","doi":"10.1080/14650045.2020.1789804","title":"Intensifying Fissures: Geopolitics, Nationalism, Militarism, and the US Response to the Novel Coronavirus","year":2020,"lang":"en","type":"article","venue":"Geopolitics","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs; University of Waterloo","funders":"","keywords":"Militarism; Geopolitics; Nationalism; Ideology; Coronavirus disease 2019 (COVID-19); Political science; Pandemic; Political economy; Politics; 2019-20 coronavirus outbreak; Coronavirus; Development economics; Sociology; Law; Virology; Economics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002760187,0.0001313132,0.0001911266,0.00003084903,0.001434796,0.0001917212,0.0004881251,0.0001193491,0.00009380984],"category_scores_gemma":[0.008297432,0.00008847353,0.0000664717,0.0003102497,0.0009868783,0.0001100969,0.0001854479,0.0003227091,0.00008853406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301039,"about_ca_system_score_gemma":0.0006102595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05012831,"about_ca_topic_score_gemma":0.004988133,"domain_scores_codex":[0.9974992,0.0007134289,0.0002847389,0.0002455579,0.0005886875,0.0006684026],"domain_scores_gemma":[0.9971308,0.001673632,0.00006149273,0.0002262531,0.0003355285,0.0005722622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001458129,0.00001529497,0.0002143628,0.00001090848,0.0000156119,0.000002048396,0.06939337,0.00001800684,4.802171e-7,0.921039,0.008944648,0.0002004543],"study_design_scores_gemma":[0.0004959046,0.0000420813,0.00350586,0.00001010161,0.00001775351,0.000004194635,0.02159784,0.0003342903,0.000003864014,0.04956003,0.9243115,0.0001165511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7327232,0.0006041817,0.0002489432,0.2542601,0.0005020638,0.0005815759,0.0002872275,0.00008657445,0.01070618],"genre_scores_gemma":[0.8979307,0.00007121607,0.0001764816,0.1003714,0.0007432132,0.00001228929,0.000009093199,0.00001059787,0.0006749904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9153669,"threshold_uncertainty_score":0.9998652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06162742695633342,"score_gpt":0.3429663755830042,"score_spread":0.2813389486266707,"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."}}