{"id":"W4295938886","doi":"10.1007/978-3-030-94350-9_2","title":"Pandemic Geopolitics in the Anthropocene","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs","funders":"","keywords":"Geopolitics; Anthropocene; Pandemic; Environmental ethics; Politics; Corporate governance; Political science; Xenophobia; Civilization; Natural disaster; Political economy; Coronavirus disease 2019 (COVID-19); Development economics; Geography; Sociology; Business; Law; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007492886,0.0003207649,0.0001918304,0.0006359826,0.003263527,0.003704225,0.0003772637,0.001482227,0.006204093],"category_scores_gemma":[0.001302088,0.0001290536,0.0001283423,0.001201519,0.00507521,0.002349762,0.001514531,0.002011438,0.0004905367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004800461,"about_ca_system_score_gemma":0.004663046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02265299,"about_ca_topic_score_gemma":0.03379627,"domain_scores_codex":[0.9995387,0.0002448586,0.00001042981,0.0000362185,0.00006848383,0.0001012944],"domain_scores_gemma":[0.9996636,0.000218807,0.00002869519,0.0000255848,0.00002954472,0.00003378128],"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":[0.000005042182,0.000007147098,0.0001427503,0.00002504487,0.000001720658,0.00003721943,0.004175215,0.0002218836,0.00003631902,0.9641005,0.02119847,0.01004855],"study_design_scores_gemma":[0.000002366356,0.00001002621,0.00137701,0.000245475,0.0000034057,0.00007317337,0.009437955,0.0002472389,0.0001052604,0.2464035,0.7420884,0.000006272399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01171016,0.02540471,0.001175902,0.01977973,0.001606679,0.00001873814,0.00007909181,0.00002202925,0.940203],"genre_scores_gemma":[0.6386141,0.04302395,0.001009538,0.006193946,0.002108819,0.00009213678,0.000132572,0.00009262221,0.3087323],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02265299,"threshold_uncertainty_score":0.04504228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06603546946682672,"score_gpt":0.3500479808084007,"score_spread":0.284012511341574,"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."}}