{"id":"W4400845235","doi":"10.34925/eip.2020.121.8.016","title":"Canada Food and Agriculture: institutional aspects of state regulation","year":2020,"lang":"ru","type":"article","venue":"Экономика и предпринимательство","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; State (computer science); Food systems; Agricultural economics; Political science; Food security; Regional science; Business; Natural resource economics; Geography; Economics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000125141,0.0004121995,0.0005517224,0.00001549804,0.0003444973,0.0001061581,0.0003536008,0.00019537,0.0005039954],"category_scores_gemma":[0.0001088324,0.0001894802,0.0001451356,0.0005334609,0.0002105648,0.0002782317,0.0002101645,0.0002746031,0.00002174088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001446855,"about_ca_system_score_gemma":0.0003369083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2920071,"about_ca_topic_score_gemma":0.5331962,"domain_scores_codex":[0.997725,0.00008840629,0.0007085123,0.0006231255,0.0003448348,0.0005100925],"domain_scores_gemma":[0.9985496,0.0001340451,0.0004794032,0.00008841264,0.0001835992,0.0005649024],"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":[0.0006376028,0.0006069851,0.01716698,0.0008896701,0.001254412,0.00008806897,0.002499475,0.008570949,0.3169768,0.3741845,0.1801802,0.09694432],"study_design_scores_gemma":[0.001206593,0.001891885,0.7432135,0.0001545456,0.0001533239,0.00006759726,0.000674744,0.002678192,0.02033459,0.003119444,0.2249842,0.001521313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967949,0.001833076,0.00001091257,0.0224514,0.0003647743,0.0004581084,0.001246784,0.00003849458,0.005647462],"genre_scores_gemma":[0.9958385,0.0005393009,0.00003348032,0.002011519,0.0009366932,0.000007860996,0.0002329571,0.000003759862,0.000395887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7260466,"threshold_uncertainty_score":0.7726779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157200677048203,"score_gpt":0.1711421903615894,"score_spread":0.1554221226567691,"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."}}