{"id":"W4242464780","doi":"10.29235/1817-7204-2021-59-3-340-349","title":"State information system “AITS”: features of formation and directions of development","year":2021,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences of Belarus Agrarian Series","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livestock; Identification (biology); Agriculture; European union; Business; Animal husbandry; Ranking (information retrieval); Food security; Geography; International trade; Computer science; Forestry; Ecology","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":[0.006868024,0.0003546341,0.0003151387,0.005398539,0.00145417,0.008380112,0.0009862431,0.00127152,0.01387417],"category_scores_gemma":[0.01282424,0.0003378243,0.0004452399,0.007079049,0.001456225,0.006547923,0.002418612,0.001290773,0.009210471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003855223,"about_ca_system_score_gemma":0.008730742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087332,"about_ca_topic_score_gemma":0.004952258,"domain_scores_codex":[0.9947522,0.001706229,0.000936547,0.0005941623,0.001426762,0.0005840564],"domain_scores_gemma":[0.9881914,0.00242509,0.001466447,0.002200142,0.004710556,0.001006368],"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":[0.0002342823,0.0001482025,0.03329339,0.0007548759,0.0000385836,0.0003717279,0.003243323,0.002034569,0.003198773,0.3877357,0.2381574,0.3307893],"study_design_scores_gemma":[0.00001648686,0.00006594748,0.007943639,0.0002015908,0.00001901947,0.0002205581,0.0007757171,0.002126758,0.001791144,0.00816377,0.9786385,0.00003684243],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05622131,0.003653084,0.1476592,0.02115096,0.002288272,0.00277708,0.03585249,0.01672608,0.7136715],"genre_scores_gemma":[0.5808273,0.005825039,0.173821,0.002675031,0.001173786,0.00240449,0.07371689,0.001873187,0.1576834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01387417,"threshold_uncertainty_score":0.04641372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571908323951956,"score_gpt":0.2030434259253835,"score_spread":0.187324342685864,"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."}}