{"id":"W4246577744","doi":"10.37153/2687-0045-2021-14-98-100","title":"Вероятностный подход к оценке риска прогрессирующего обрушения","year":2021,"lang":"ru","type":"article","venue":"Sbornik tezisov dokladov... Rossijskoj nacionalʹnoj konferencii po sejsmostojkomu stroitelʹstvu i sejsmičeskomu rajonirovaniû","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"123 Certification (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001476691,0.00537314,0.00541691,0.002214913,0.00237619,0.00257784,0.003273154,0.003175771,0.01342375],"category_scores_gemma":[0.001444093,0.005962786,0.003471807,0.007038907,0.001216537,0.002373958,0.001477194,0.005855611,0.00538182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003040218,"about_ca_system_score_gemma":0.003164808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003599428,"about_ca_topic_score_gemma":0.0004830108,"domain_scores_codex":[0.9774622,0.001005821,0.005559954,0.00532257,0.004670753,0.005978649],"domain_scores_gemma":[0.9854556,0.001363082,0.001480995,0.005380215,0.003002534,0.003317539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001506945,0.003577113,0.006409651,0.005139302,0.01581514,0.005337163,0.008555897,0.512818,0.08889616,0.1602297,0.1070612,0.08465371],"study_design_scores_gemma":[0.01892539,0.001748048,0.04271268,0.003545885,0.006130799,0.004210847,0.01269622,0.1962524,0.08878984,0.006909569,0.5974617,0.02061661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4633257,0.05785738,0.3035531,0.01070956,0.03583439,0.005823773,0.01328919,0.01992848,0.08967835],"genre_scores_gemma":[0.9617851,0.003844159,0.01096199,0.001373538,0.002891709,0.0002920768,0.003512976,0.001712496,0.01362592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4984594,"threshold_uncertainty_score":0.9989226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096830710236434,"score_gpt":0.222398343872822,"score_spread":0.2114300367704576,"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."}}