{"id":"W7042745056","doi":"","title":"Practical application of structural risk assessment with SMART DT","year":2023,"lang":"en","type":"article","venue":"Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Probabilistic logic; Probabilistic risk assessment; Risk assessment; Uncertainty quantification; Probabilistic analysis of algorithms; Probability distribution; Experimental data; Structural reliability","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":[0.001627922,0.0008449024,0.0005180509,0.001759598,0.0002952708,0.00101047,0.001113255,0.0008315591,0.008527994],"category_scores_gemma":[0.003988075,0.0004297065,0.0006455733,0.000809098,0.0004428255,0.001658855,0.001393936,0.0005366655,0.001716234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006199131,"about_ca_system_score_gemma":0.0008280496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001786045,"about_ca_topic_score_gemma":0.001507893,"domain_scores_codex":[0.9990492,0.0002539095,0.00007776818,0.0001363513,0.0004406259,0.00004201397],"domain_scores_gemma":[0.9977897,0.00115229,0.0002485643,0.0003563309,0.0004067863,0.00004622684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001526219,0.00005963073,0.004475242,0.0003457112,0.00005973921,0.0002280837,0.0001874723,0.6434855,0.01510462,0.037966,0.004440219,0.2934951],"study_design_scores_gemma":[0.0000154555,0.00008874783,0.001403985,0.00005540699,0.00002119937,0.0002319179,0.00005810819,0.9593964,0.005150219,0.02502613,0.008519752,0.00003267701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02578251,0.000199236,0.9574332,0.0001900411,0.00003680048,0.0001013557,0.0006393319,0.002066396,0.01355106],"genre_scores_gemma":[0.5417377,0.000439517,0.4489389,0.0001131685,0.00004027338,0.0001996557,0.00108343,0.0005397087,0.006907557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008527994,"threshold_uncertainty_score":0.02852899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410725829615763,"score_gpt":0.247184468816903,"score_spread":0.2330772105207454,"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."}}