{"id":"W2402210512","doi":"","title":"Полученные результаты позволяют надеяться на успешное применение алгоритмов автоматической класси- фикации в компьютерных системах технической диагностики электрорадиоизделий. Ключевые слова: диагностика, электрорадиоизделие, классификация, генерация данных. ABOUT RESEARCH OF RADIO-ELECTRONIC EQUIPMENT DIAGNOSTICS COMPUTER SYSTEM ON THE BASIS OF EXPERIMENTAL DATA","year":2014,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ant colony optimization algorithms; Data set; Computer science; Operations research; Algorithm; Mathematics; Artificial intelligence","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":[0.003078217,0.0006851706,0.0008095869,0.00299735,0.002061108,0.007159843,0.001221133,0.002380985,0.03043085],"category_scores_gemma":[0.008105878,0.0007039896,0.001008732,0.003041709,0.004498728,0.005074305,0.002532702,0.002338096,0.01139041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002812741,"about_ca_system_score_gemma":0.00480108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004902779,"about_ca_topic_score_gemma":0.00417828,"domain_scores_codex":[0.9947423,0.001287172,0.0002756916,0.0008821971,0.002429163,0.0003835154],"domain_scores_gemma":[0.9947088,0.001766239,0.0005231785,0.0007700464,0.001874294,0.0003574676],"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":[0.0001834648,0.0000931734,0.003476649,0.001165472,0.00007408296,0.0006275742,0.002255903,0.004192167,0.009253679,0.6486539,0.02870506,0.3013189],"study_design_scores_gemma":[0.00004199289,0.0001234603,0.006062123,0.0007706227,0.0001215275,0.00121202,0.00294216,0.006025008,0.01037297,0.3731612,0.5990189,0.0001480837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03659191,0.05508686,0.3015729,0.02609873,0.003450041,0.000359872,0.001726421,0.001333541,0.5737797],"genre_scores_gemma":[0.5896025,0.04340579,0.2126622,0.002685047,0.001823932,0.0009639426,0.001340397,0.0009411263,0.146575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03043085,"threshold_uncertainty_score":0.1018013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07956155972377582,"score_gpt":0.342673346169565,"score_spread":0.2631117864457892,"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."}}