{"id":"W4248800249","doi":"10.24124/2014/bpgub1636","title":"Looking deeper into security in the Arctic policy of the Canadian government from 2006 to 2011","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Canadian Armed Forces","keywords":"Government (linguistics); Arctic; Securitization; Politics; Political science; National security; The arctic; Public administration; Order (exchange); Foreign policy; Political economy; Business; Economics; Finance; Law; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002298032,0.0002896495,0.0003089819,0.00239083,0.02861573,0.0076498,0.001001667,0.001485462,0.003088676],"category_scores_gemma":[0.005390961,0.0002711073,0.0003312316,0.005572065,0.005904734,0.001905103,0.001950528,0.003525877,0.0002675912],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2932354,"about_ca_system_score_gemma":0.29366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985066,"about_ca_topic_score_gemma":0.9991933,"domain_scores_codex":[0.9969003,0.0003055158,0.00005291963,0.0001951056,0.000964756,0.001581393],"domain_scores_gemma":[0.9966694,0.0004007222,0.0002386507,0.00005111318,0.001803161,0.0008369485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002160494,0.0001159412,0.07900306,0.0004134549,0.00005323692,0.0008617574,0.5739758,0.001505688,0.001347527,0.195089,0.08689848,0.06051997],"study_design_scores_gemma":[0.000007105487,0.00002817894,0.168596,0.0005242666,0.00003192261,0.00007377275,0.4527816,0.0003213243,0.0006329302,0.001878436,0.3750329,0.00009148567],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7206996,0.006617788,0.0002902786,0.06180834,0.0004086948,0.00007829612,0.001735014,0.00003166374,0.2083304],"genre_scores_gemma":[0.9397675,0.005233058,0.0003662429,0.003625467,0.00003880972,0.00003499104,0.0005695944,0.00002490242,0.05033945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7067646,"threshold_uncertainty_score":0.8197467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009378097172392956,"score_gpt":0.2932357782163335,"score_spread":0.2838576810439405,"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."}}