{"id":"W2911130644","doi":"","title":"Сопоставление эффективности детерминированных и вероятностных моделей техобслуживания и ремонта энергоблоков ТЭС","year":2017,"lang":"ru","type":"article","venue":"Safety and Reliability of Power Industry","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Computer science; Environmental science; Engineering; Power (physics)","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":[0.0008657801,0.0003661235,0.0003855,0.001319192,0.000781161,0.001978904,0.0005324794,0.0005585672,0.006445631],"category_scores_gemma":[0.003471085,0.0004712339,0.0004524099,0.001371991,0.001043645,0.0008870439,0.0004771397,0.0007996762,0.001844622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008824453,"about_ca_system_score_gemma":0.002159181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006023936,"about_ca_topic_score_gemma":0.007284003,"domain_scores_codex":[0.999105,0.0001688927,0.00003869735,0.0001638701,0.0004462748,0.00007720749],"domain_scores_gemma":[0.9986557,0.0005794005,0.0002082187,0.0002041929,0.0003081951,0.00004426565],"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":[0.0002256836,0.0001467785,0.006938155,0.0004813616,0.00008044041,0.000671241,0.00137833,0.03653233,0.05537347,0.5019696,0.003806119,0.3923965],"study_design_scores_gemma":[0.0001700209,0.0004981845,0.02303693,0.0002912996,0.00028029,0.003076357,0.001416893,0.101979,0.09863366,0.4178551,0.3523101,0.0004520622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1736203,0.007781933,0.6790887,0.00114554,0.000572505,0.0001700809,0.0008814831,0.0005834677,0.136156],"genre_scores_gemma":[0.7566876,0.004271739,0.2196872,0.00005923158,0.0001312115,0.0002880374,0.0003279868,0.0001591659,0.01838771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006445631,"threshold_uncertainty_score":0.02156276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157566277948608,"score_gpt":0.2577115321001787,"score_spread":0.2461358693206926,"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."}}