{"id":"W2954679722","doi":"10.1177/0974910118824421","title":"Global Risks for Eurasia in 2019","year":2018,"lang":"en","type":"article","venue":"Global Journal of Emerging Market Economies","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protectionism; China; Sanctions; International trade; Pessimism; Geopolitics; Political science; Vulnerability (computing); Brexit; European union; Development economics; Economy; Economic growth; Economics; Politics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003208398,0.0006851776,0.0002665866,0.001490606,0.0005956077,0.002794952,0.0004208638,0.0007408317,0.003272346],"category_scores_gemma":[0.00292217,0.0001356029,0.00044498,0.001632857,0.0003783166,0.001682996,0.001572598,0.001230572,0.001029569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002430213,"about_ca_system_score_gemma":0.002687045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261977,"about_ca_topic_score_gemma":0.010154,"domain_scores_codex":[0.9987928,0.0002167501,0.0001604073,0.00009653193,0.0005456133,0.0001879471],"domain_scores_gemma":[0.9984598,0.00008600851,0.000399444,0.00005182984,0.0007774339,0.0002254845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001273415,0.000288337,0.2909122,0.002406237,0.0005574312,0.004626016,0.009163582,0.006165856,0.0156259,0.06521548,0.2221446,0.3816209],"study_design_scores_gemma":[0.00004089954,0.000463938,0.4072914,0.0009385741,0.0001269765,0.001770048,0.01058424,0.001804865,0.004747883,0.008626198,0.5634887,0.0001163757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6121319,0.01502369,0.006092071,0.02167993,0.003746418,0.0004337236,0.023708,0.000327349,0.3168569],"genre_scores_gemma":[0.9335553,0.006277191,0.007553933,0.002652199,0.0003359592,0.0001928534,0.01256688,0.00008050895,0.03678511],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01261977,"threshold_uncertainty_score":0.0250926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03516932567463112,"score_gpt":0.3720812138500966,"score_spread":0.3369118881754655,"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."}}