{"id":"W2947776168","doi":"10.1016/j.healthplace.2019.05.016","title":"“To me, policy is government”: Creating a locally driven healthy food environment in the Canadian Arctic","year":2019,"lang":"en","type":"article","venue":"Health & Place","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Thompson Rivers University","funders":"Canadian Institutes of Health Research","keywords":"Indigenous; Arctic; Government (linguistics); Political science; Food insecurity; The arctic; Economic growth; Sociology; Public relations; Geography; Food security; Ecology; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001980986,0.0002028876,0.0004104717,0.0001164238,0.004127717,0.00001088687,0.0003009553,0.0001812067,0.0006358859],"category_scores_gemma":[0.0001730134,0.0001639786,0.0000447309,0.0002730069,0.00003018216,0.00003874006,0.0001609235,0.0008393882,0.002473376],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01219193,"about_ca_system_score_gemma":0.005478428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7775399,"about_ca_topic_score_gemma":0.9831931,"domain_scores_codex":[0.9953092,0.0007417118,0.0006532277,0.0004038743,0.0004263659,0.002465611],"domain_scores_gemma":[0.9980924,0.0006098787,0.00024585,0.0004794682,0.00003754173,0.0005348485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001833091,0.0001531976,0.4861464,0.0009766747,0.0000463626,0.00001221353,0.4722946,0.0004327008,0.000002448966,0.008345162,0.0303472,0.00105974],"study_design_scores_gemma":[0.001826956,0.003244506,0.2671871,0.0002939916,0.000009469536,0.000009854275,0.1370764,0.0003381669,4.449561e-7,0.0002144915,0.5894445,0.0003541455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5726636,0.0004138926,0.00002466189,0.3848462,0.0005542953,0.006701262,0.0001609927,0.00003056572,0.03460458],"genre_scores_gemma":[0.811953,0.0002753132,0.0002541838,0.1852743,0.0002381942,0.0004146658,0.000008254456,0.00002887174,0.001553169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5590973,"threshold_uncertainty_score":0.9983033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293789842547469,"score_gpt":0.3386391928751804,"score_spread":0.3092602086204335,"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."}}