{"id":"W4415346474","doi":"10.34925/eip.2025.182.9.260","title":"ГОСУДАРСТВЕННАЯ ПОДДЕРЖКА ЦИФРОВОГО СЕЛЬСКОГО ХОЗЯЙСТВА НА ЗАПАДЕ: РЕКОМЕНДАЦИИ ДЛЯ СТРАН С ФОРМИРУЮЩЕЙСЯ ЦИФРОВОЙ ЭКОНОМИКОЙ","year":2025,"lang":"ru","type":"article","venue":"Экономика и предпринимательство","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Order (exchange); Big data; Internet of Things; Key (lock); Digital transformation; Digital economy","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":[0.003027431,0.0006712804,0.0004596874,0.002148974,0.004943593,0.01398182,0.000910547,0.002394672,0.01970081],"category_scores_gemma":[0.007301454,0.0006122146,0.0007001568,0.002079356,0.0104974,0.009658606,0.005109798,0.003533322,0.005791048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004875448,"about_ca_system_score_gemma":0.007215477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006519392,"about_ca_topic_score_gemma":0.007079555,"domain_scores_codex":[0.9952016,0.001584466,0.0002062251,0.0007913282,0.001662501,0.0005539391],"domain_scores_gemma":[0.9957452,0.001356381,0.0004123788,0.0006699885,0.001278047,0.0005378949],"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":[0.00003366151,0.00002298688,0.001128446,0.0001493357,0.00001561729,0.0003187786,0.00860496,0.0003193193,0.0008057869,0.9484899,0.006519978,0.03359126],"study_design_scores_gemma":[0.00002324276,0.0000450282,0.003214775,0.0004305965,0.00003870155,0.0008328358,0.01103119,0.0008233163,0.00149452,0.4133688,0.5686217,0.00007528452],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03815445,0.01071133,0.06748504,0.02000878,0.001187527,0.0001473692,0.0004195031,0.0002712883,0.8616148],"genre_scores_gemma":[0.8056613,0.01163025,0.04358567,0.002112463,0.0008018359,0.0003905824,0.000394644,0.0003807433,0.1350425],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01970081,"threshold_uncertainty_score":0.06590581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036290283930294,"score_gpt":0.2195403355938937,"score_spread":0.2091774327545907,"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."}}