{"id":"W4415464477","doi":"10.1353/isia.0.a973260","title":"Sino-Russian Frenemies in the Arctic: A Friendship as Fragile as Glaciers","year":2025,"lang":"en","type":"article","venue":"Irish Studies in International Affairs","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanctions; Glacier; Beijing; Friendship; Arctic; China","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":[0.001587074,0.0001909651,0.0002415622,0.0007527801,0.0119852,0.004800789,0.0003263527,0.0007234266,0.00423264],"category_scores_gemma":[0.001262296,0.000140708,0.0001178294,0.000932588,0.005714137,0.00251555,0.00324992,0.001614063,0.0002736241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002400553,"about_ca_system_score_gemma":0.002543654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.033694,"about_ca_topic_score_gemma":0.06217525,"domain_scores_codex":[0.9988548,0.0006046033,0.00002152676,0.00009630509,0.00009171697,0.0003310584],"domain_scores_gemma":[0.9989617,0.0002132588,0.0002239067,0.00004045117,0.0001004822,0.0004602609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008156946,0.0001015593,0.05779573,0.000058256,0.00003131104,0.001253934,0.858022,0.000141195,0.0005691689,0.06202052,0.004476363,0.01544839],"study_design_scores_gemma":[0.000003352712,0.00003466623,0.02581933,0.00007112446,0.000008849045,0.0001523104,0.9358271,0.00008827524,0.00007884985,0.001331547,0.03656985,0.00001471694],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615241,0.0004563454,0.0001076453,0.00353525,0.00008206572,0.00000502793,0.0000124807,0.000002871738,0.03427422],"genre_scores_gemma":[0.9963968,0.0002572348,0.00002355245,0.000187271,0.00001307153,0.000001989936,0.000005150379,0.000002038951,0.003112828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.033694,"threshold_uncertainty_score":0.06699574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04323405715386275,"score_gpt":0.4107396032300724,"score_spread":0.3675055460762097,"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."}}