{"id":"W7135719667","doi":"","title":"Comparing Canadian and Russian foreign policy: the case of Arctica","year":2014,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Legitimacy; Foreign policy; Government (linguistics); Perspective (graphical); The arctic","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":[0.00235621,0.0002888977,0.0004110329,0.002804091,0.01825641,0.007721957,0.001273544,0.001918875,0.003198124],"category_scores_gemma":[0.004654304,0.0001848605,0.0005081473,0.006519895,0.004138283,0.001213734,0.002535009,0.001752735,0.0001958175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1042223,"about_ca_system_score_gemma":0.09858971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900556,"about_ca_topic_score_gemma":0.9921317,"domain_scores_codex":[0.9957575,0.0007340668,0.00007847112,0.0002667579,0.0009094735,0.002253725],"domain_scores_gemma":[0.9973093,0.0006720707,0.0002629894,0.00008361456,0.001111452,0.0005604792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004239688,0.0001459552,0.1005865,0.0003982708,0.0001772473,0.007296498,0.1465666,0.00440655,0.001281272,0.6777805,0.01901798,0.04191867],"study_design_scores_gemma":[0.00003696303,0.00009477555,0.222951,0.0005002178,0.0002758524,0.0009371423,0.5206017,0.002593341,0.001240679,0.01178534,0.2388035,0.0001795908],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7902165,0.002856463,0.0002729637,0.006267903,0.00007910065,0.00004498362,0.0002639778,0.00001236244,0.1999857],"genre_scores_gemma":[0.9888993,0.001484773,0.0002286734,0.0004302158,0.000008121552,0.00001252923,0.0001022425,0.000007514905,0.008826735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042223,"threshold_uncertainty_score":0.7561889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376672231120691,"score_gpt":0.2787660816754791,"score_spread":0.2649993593642722,"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."}}