{"id":"W4407678149","doi":"10.1038/s43247-025-02122-6","title":"Arctic food and energy security at the crossroads","year":2025,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Mount Royal University; University of Regina; McGill University; First Nations University of Canada; University of Windsor; Ste. Anne's Hospital; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pace; Arctic; Resilience (materials science); Food security; Facilitation; Food systems; Energy (signal processing); Geography; The arctic; Environmental resource management; Economic geography; Business; Natural resource economics; Economy; Ecology; Political science; Economics; Oceanography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001242156,0.000247079,0.0002714283,0.0008514723,0.004275299,0.005018099,0.0003809939,0.001150127,0.01716029],"category_scores_gemma":[0.001624952,0.0001198086,0.000203878,0.0007931234,0.00451338,0.002798214,0.004507293,0.002151784,0.001430953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003464141,"about_ca_system_score_gemma":0.00504602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04938605,"about_ca_topic_score_gemma":0.08632472,"domain_scores_codex":[0.9992311,0.000273644,0.00001757464,0.000067762,0.0001467669,0.0002631217],"domain_scores_gemma":[0.9990576,0.0001793145,0.00007059572,0.00005645283,0.0002228039,0.0004131818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001664485,0.0001049018,0.0156338,0.0004172873,0.0000656168,0.0006807183,0.01831894,0.0006799291,0.00102155,0.6957629,0.081098,0.1860498],"study_design_scores_gemma":[0.000006141492,0.00005746212,0.02000216,0.001174447,0.00001920748,0.0003279532,0.02605525,0.0001767709,0.0004564901,0.1242899,0.827397,0.00003716946],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1187568,0.05277535,0.002341311,0.1820189,0.004749332,0.00001352877,0.0004124701,0.00007946564,0.6388528],"genre_scores_gemma":[0.9139246,0.02791371,0.001841076,0.009036122,0.001332959,0.00001165597,0.0001818855,0.00005851392,0.0456995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04938605,"threshold_uncertainty_score":0.09819716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.029390916074095,"score_gpt":0.3272737272448423,"score_spread":0.2978828111707473,"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."}}