{"id":"W4220894620","doi":"10.14430/arctic74717","title":"Interregional Differences in Agricultural Development across Circumpolar Canada","year":2022,"lang":"en","type":"article","venue":"ARCTIC","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Circumpolar star; Agriculture; Geography; Sustainability; Politics; Environmental protection; Political science; Ecology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006934693,0.0002708051,0.0003557481,0.002578586,0.003790229,0.002596497,0.0007353538,0.0001948614,0.00315506],"category_scores_gemma":[0.001265594,0.000137874,0.0004417138,0.008114121,0.001234115,0.0004878645,0.001047746,0.0005255122,0.0001752868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0440097,"about_ca_system_score_gemma":0.0705517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951998,"about_ca_topic_score_gemma":0.9986233,"domain_scores_codex":[0.999211,0.00006471188,0.00003623712,0.0001321562,0.0002195746,0.0003364418],"domain_scores_gemma":[0.9982704,0.0001583187,0.0001328077,0.00004188651,0.001050505,0.0003460377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004445395,0.00007358938,0.6220627,0.003060365,0.0007604525,0.002204482,0.02961406,0.002780831,0.00562164,0.0254854,0.03006427,0.2778277],"study_design_scores_gemma":[0.00001239867,0.00002100356,0.878015,0.0009408147,0.0001554011,0.00018227,0.0164804,0.0003558223,0.0004321745,0.0007970774,0.1025503,0.0000573282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7511187,0.1026334,0.001490225,0.006695489,0.0002638529,0.000188268,0.01693005,0.0001383348,0.1205417],"genre_scores_gemma":[0.9495651,0.03820459,0.001360482,0.0006728657,0.00001081356,0.00003931311,0.003300325,0.00003100405,0.006815488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0440097,"threshold_uncertainty_score":0.3193142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04638783285418325,"score_gpt":0.3292503741884778,"score_spread":0.2828625413342946,"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."}}