{"id":"W2997981662","doi":"10.17238/issn2221-2698.2019.35.25","title":"Conditions and opportunities to realize the agricultural potential of the North","year":2019,"lang":"en","type":"article","venue":"Arctic and North","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Business; Agricultural economics; Natural resource economics; Environmental planning; Environmental science; Geography; Economics; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007619699,0.0001373019,0.0001606527,0.0003623731,0.004021185,0.002997224,0.0003211612,0.0005553262,0.007836572],"category_scores_gemma":[0.0008284209,0.000131515,0.000128043,0.0004128326,0.003080972,0.001859613,0.003028044,0.0007629672,0.0008283455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424588,"about_ca_system_score_gemma":0.00323857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005787713,"about_ca_topic_score_gemma":0.02972109,"domain_scores_codex":[0.9993213,0.0002057608,0.00002160343,0.00009476725,0.00009296415,0.0002636712],"domain_scores_gemma":[0.9993086,0.00009944275,0.0001252212,0.00005309099,0.00009581172,0.0003179508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003943533,0.0002725636,0.1002117,0.0007392659,0.00003925876,0.01182709,0.1928915,0.001229755,0.01714965,0.5071222,0.02287867,0.1452439],"study_design_scores_gemma":[0.00002047267,0.0001363429,0.1142839,0.0003070096,0.00001582519,0.002445181,0.231581,0.0002197011,0.0009792349,0.05826491,0.5916874,0.00005890996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5605283,0.001948882,0.001015397,0.008729822,0.0001526967,0.00003468193,0.0001150661,0.00002646076,0.4274486],"genre_scores_gemma":[0.9849012,0.0008447056,0.0009792213,0.0003226165,0.00003846642,0.00001801167,0.0000282335,0.000008886641,0.01285852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007836572,"threshold_uncertainty_score":0.02621597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03180692569302985,"score_gpt":0.2687443727700986,"score_spread":0.2369374470770688,"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."}}