{"id":"W4408463112","doi":"10.36910/775.24153966.2024.79.28","title":"ОПТИМІЗАЦІЯ ЦИФРОВИХ ДВІЙНИКІВ МОДУЛЬНИХ ВИРОБНИЧИХ СТАНЦІЙ FESTO","year":2025,"lang":"uk","type":"article","venue":"Наукові нотатки","topic":"Cybersecurity and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Paton (Canada)","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00283645,0.0007683383,0.0004954403,0.00253945,0.002710889,0.008971707,0.001086073,0.001915073,0.05118266],"category_scores_gemma":[0.006740135,0.0009021161,0.0006155262,0.002210757,0.004563409,0.005336944,0.00358704,0.002976337,0.01718723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003272772,"about_ca_system_score_gemma":0.005943258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005214036,"about_ca_topic_score_gemma":0.005265908,"domain_scores_codex":[0.996409,0.0008111109,0.0001748869,0.0005550208,0.001675991,0.0003739729],"domain_scores_gemma":[0.9967372,0.0007897316,0.0002686787,0.0006533648,0.001193515,0.0003574698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001487185,0.00009015408,0.002020283,0.0004254008,0.00002839707,0.0004359512,0.002770192,0.001888157,0.01017458,0.8503119,0.01784896,0.1138573],"study_design_scores_gemma":[0.00004528626,0.0001028396,0.003083596,0.0003449323,0.00004599183,0.0006511661,0.003123249,0.002464085,0.01214002,0.2875895,0.6902758,0.0001336327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02686355,0.005016923,0.150451,0.01076224,0.001498624,0.0003247742,0.0009835187,0.0008680854,0.8032312],"genre_scores_gemma":[0.5190618,0.009236374,0.1518851,0.001648824,0.0007133125,0.0008568522,0.001009986,0.001408312,0.3141795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05118266,"threshold_uncertainty_score":0.171223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006805473185302212,"score_gpt":0.2527085241946359,"score_spread":0.2459030510093336,"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."}}