{"id":"W3204583286","doi":"10.14430/arctic73099","title":"“A Great Investment in Our Communities”: Strengthening Nunavut’s Whole-of-Society Search and Rescue Capabilities","year":2021,"lang":"en","type":"article","venue":"ARCTIC","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Canada Research Chairs; St. Francis Xavier University","keywords":"Context (archaeology); Government (linguistics); Community organization; Investment (military); Psychological resilience; Resilience (materials science); Public relations; Business; Officer; Search and rescue; Political science; Environmental resource management; Public administration; Geography; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002856713,0.0005200794,0.0002109923,0.0006992425,0.01726438,0.005270776,0.002109359,0.001342302,0.006007222],"category_scores_gemma":[0.003825372,0.0003358003,0.0002832645,0.0006677238,0.00499339,0.003281117,0.009317774,0.001676307,0.000428905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02348041,"about_ca_system_score_gemma":0.06710369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8107302,"about_ca_topic_score_gemma":0.9493024,"domain_scores_codex":[0.997811,0.0008127295,0.00002647943,0.0001685423,0.0001727011,0.001008508],"domain_scores_gemma":[0.9958748,0.0003123036,0.0001317537,0.0001438936,0.0005996606,0.002937615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000361176,0.0006986439,0.163659,0.001052552,0.0001288201,0.004216835,0.3051839,0.002473525,0.00853098,0.09805201,0.09483996,0.3208027],"study_design_scores_gemma":[0.00003361044,0.0002504455,0.06006599,0.001198972,0.00007316152,0.0003596383,0.6262369,0.001450876,0.001228247,0.01365889,0.2953039,0.0001394632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7590563,0.005009683,0.007841295,0.1081935,0.001388584,0.0006682395,0.0004217938,0.0002124674,0.1172081],"genre_scores_gemma":[0.9703134,0.001035691,0.007241312,0.006340227,0.00003446493,0.0001356933,0.00009175446,0.0000467684,0.01476069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1892698,"threshold_uncertainty_score":0.3807688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04925813207481104,"score_gpt":0.3261162450378775,"score_spread":0.2768581129630664,"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."}}