{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004667026,0.00007385614,0.000168177,0.0002087165,0.0001222127,0.00006317903,0.0002080009,0.00004459606,0.000005758598],"category_scores_gemma":[0.0001763937,0.00005212602,0.00003756025,0.0007135554,0.0002086876,0.00386081,0.0001390515,0.00004076994,6.573438e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001848626,"about_ca_system_score_gemma":0.00004839793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008032657,"about_ca_topic_score_gemma":0.000001525663,"domain_scores_codex":[0.9988517,0.000001702242,0.0005619098,0.00008274729,0.000429869,0.00007207417],"domain_scores_gemma":[0.9981126,0.00001748021,0.001102019,0.000009819742,0.0007514356,0.000006688561],"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":[0.00006462113,0.00009571219,0.02528215,0.00483219,0.0001262562,1.324086e-8,0.002949982,0.0004215633,0.01922839,0.9345539,0.00412034,0.008324875],"study_design_scores_gemma":[0.0005427023,0.00002064918,0.52924,0.001061793,0.00004570488,0.00001743353,0.01048256,0.0003250125,0.4222727,0.01364854,0.02209288,0.0002500645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410358,0.0001246475,0.0000133683,0.001212347,0.00008363624,0.0002209548,0.00003911192,0.00001741767,0.05725269],"genre_scores_gemma":[0.998542,0.00003125587,0.001171427,0.00007312017,0.00001600889,0.000004851153,0.000007544571,0.000001519109,0.0001522693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9209054,"threshold_uncertainty_score":0.2798994,"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."}}