{"id":"W4405255426","doi":"10.1080/11926422.2024.2419840","title":"Wicked problems in Canada's Arctic during Cold War 2.0","year":2024,"lang":"en","type":"article","venue":"Canadian Foreign Policy Journal","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Navy; Canadian Armed Forces; University of Victoria","funders":"","keywords":"Cold war; China; Political science; Order (exchange); Corporate governance; Wicked problem; Political economy; Environmental ethics; Law; Development economics; Sociology; Management; Business; Economics; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009751208,0.0005333213,0.0007801013,0.001705162,0.05447882,0.01534778,0.002367187,0.004879746,0.002303195],"category_scores_gemma":[0.01164792,0.0005330358,0.0006512822,0.003082713,0.02914477,0.003372621,0.006655214,0.006900184,0.0001585827],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1471085,"about_ca_system_score_gemma":0.2529112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985106,"about_ca_topic_score_gemma":0.9938958,"domain_scores_codex":[0.9847298,0.00369535,0.000343339,0.0008868409,0.003033576,0.007311078],"domain_scores_gemma":[0.9882747,0.002990506,0.000870237,0.00024927,0.002765634,0.004849577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001509635,0.00008806289,0.03141801,0.0004470421,0.0001091527,0.01348167,0.6186039,0.005902112,0.001100127,0.2209116,0.06909855,0.03868867],"study_design_scores_gemma":[0.00001073732,0.00002329906,0.01358144,0.0004817963,0.00002499274,0.000498353,0.8176491,0.0008682502,0.0002748927,0.02062134,0.1458133,0.0001524458],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5923164,0.008188399,0.003037149,0.2467666,0.001544135,0.0001831069,0.0002869664,0.00007844873,0.1475987],"genre_scores_gemma":[0.9751453,0.00287568,0.001355926,0.01185711,0.00009947878,0.00003373458,0.00006084718,0.00003360621,0.008538173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1471085,"threshold_uncertainty_score":0.9892332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516999420454599,"score_gpt":0.2609675355773227,"score_spread":0.2457975413727767,"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."}}