{"id":"W4408340948","doi":"10.1038/s43247-025-02180-w","title":"Author Correction: Arctic food and energy security at the crossroads","year":2025,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"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; Memorial University of Newfoundland","funders":"","keywords":"Arctic; Food security; The arctic; Environmental science; Energy (signal processing); Geography; Oceanography; Geology; Mathematics; Statistics; Archaeology; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003302716,0.00192228,0.001443251,0.002591283,0.004099402,0.00501864,0.003105074,0.00731588,0.07684696],"category_scores_gemma":[0.06191078,0.00084962,0.00128767,0.002204655,0.002717219,0.002425192,0.002304401,0.01265855,0.04314209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003734173,"about_ca_system_score_gemma":0.007105432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02050419,"about_ca_topic_score_gemma":0.02725411,"domain_scores_codex":[0.9953049,0.000801943,0.0006902614,0.0007524298,0.002050907,0.0003995139],"domain_scores_gemma":[0.9702259,0.007673756,0.001726663,0.002175563,0.01680313,0.001395065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001096664,0.000001420683,0.00003581614,0.00004541362,0.000003653082,0.00007705648,0.00002187072,0.0000231465,0.00001232016,0.000658304,0.996896,0.002214012],"study_design_scores_gemma":[0.00001553522,0.000006780885,0.0003312862,0.0002696615,0.000008842127,0.0002199238,0.0000987423,0.0001197371,0.000141166,0.001209953,0.9975603,0.00001814625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001039922,0.001006496,0.0003740093,0.06205755,0.9308221,0.00001542139,0.0008820047,0.0002551711,0.004483292],"genre_scores_gemma":[0.02012771,0.01094421,0.00342921,0.1162688,0.4752268,0.0001895189,0.002705793,0.001718466,0.3693895],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07684696,"threshold_uncertainty_score":0.2570787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681321909065168,"score_gpt":0.3025299065419342,"score_spread":0.2757166874512825,"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."}}