{"id":"W3089986197","doi":"10.14430/arctic70869","title":"Strengthening Sustainable Northern Food Systems: Federal Policy Constraints and Potential Opportunities","year":2020,"lang":"en","type":"article","venue":"ARCTIC","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Wilfrid Laurier University; University of Waterloo; Carleton University; Lakehead University; University of Toronto; Saint Paul University","funders":"Arctic Institute of North America","keywords":"Indigenous; Food systems; Politics; Corporate governance; Food processing; Sustainability; Treaty; Food policy; Sustainable development; Political science; Work (physics); Geography; Environmental planning; Distribution (mathematics); Business; State (computer science); Economic growth; Food security; Environmental resource management; Economics; Ecology; Agriculture; Engineering","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":[0.0182563,0.0004179996,0.0006414721,0.001367494,0.01551638,0.01097943,0.002709885,0.003154276,0.007597064],"category_scores_gemma":[0.02191577,0.0003596627,0.0004912646,0.001799869,0.007331185,0.004504936,0.00720048,0.004052584,0.0003956949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07960745,"about_ca_system_score_gemma":0.3196287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9570022,"about_ca_topic_score_gemma":0.9774547,"domain_scores_codex":[0.9897432,0.002371563,0.0002126967,0.0005614122,0.002323941,0.004787155],"domain_scores_gemma":[0.9795166,0.005184173,0.0007153479,0.001164233,0.007387904,0.006031706],"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":[0.0001156973,0.0001329853,0.01286125,0.000930664,0.00007667555,0.0004319495,0.01403301,0.004059369,0.001030553,0.7204335,0.1083557,0.1375386],"study_design_scores_gemma":[0.00005307609,0.00007583529,0.02590421,0.00254809,0.00008839348,0.0001457861,0.03394514,0.002300808,0.0008173,0.104157,0.8298125,0.0001517854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05897432,0.02121459,0.005791258,0.6261927,0.001477584,0.00021245,0.000652713,0.0002665473,0.2852179],"genre_scores_gemma":[0.8501849,0.02020335,0.01900664,0.07111254,0.0004417724,0.0002860697,0.0004805426,0.00009083493,0.03819344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07960745,"threshold_uncertainty_score":0.5775952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06253419937600554,"score_gpt":0.320497685359924,"score_spread":0.2579634859839185,"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."}}