{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008729671,0.0003941006,0.0002643167,0.001120045,0.0007096832,0.001903251,0.0004229365,0.0005283046,0.01344714],"category_scores_gemma":[0.001848848,0.0004064276,0.0003215386,0.00082897,0.001347215,0.001186691,0.000883268,0.0007732253,0.00340106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006066206,"about_ca_system_score_gemma":0.00128559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204963,"about_ca_topic_score_gemma":0.002410432,"domain_scores_codex":[0.9991623,0.000160974,0.00004042158,0.0001430644,0.000418041,0.00007515419],"domain_scores_gemma":[0.9993993,0.0002005004,0.00006862379,0.0001245907,0.0001660743,0.00004085395],"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":[0.000185549,0.0001003811,0.002049758,0.0005211203,0.00003261359,0.000390966,0.002429968,0.008801464,0.06457079,0.5044976,0.003356724,0.413063],"study_design_scores_gemma":[0.00008927036,0.0006467143,0.01035423,0.0005471084,0.0001363415,0.00194202,0.002296086,0.0196182,0.07545653,0.3305989,0.5580663,0.0002483488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1327393,0.01421367,0.4969295,0.002075736,0.0008040194,0.0001771736,0.000351389,0.0006942356,0.352015],"genre_scores_gemma":[0.76467,0.007169409,0.1769437,0.0001442993,0.0002558888,0.0002595372,0.0001596299,0.0002700183,0.05012759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01344714,"threshold_uncertainty_score":0.04498518,"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."}}