{"id":"W4404181839","doi":"10.1016/j.prostr.2024.09.276","title":"Novel Reliability Evaluation of Existing Structures Using Digital Image Processing and Random Finite Element Simulation","year":2024,"lang":"en","type":"article","venue":"Procedia Structural Integrity","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Mitacs; Dalhousie University","keywords":"Finite element method; Reliability (semiconductor); Computer science; Digital image processing; Image processing; Digital image; Structural engineering; Reliability engineering; Image (mathematics); Computer vision; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004095516,0.0004351863,0.0003384353,0.0007946353,0.0001240353,0.0006688735,0.0005978892,0.0005503726,0.0006583193],"category_scores_gemma":[0.001158068,0.0002236478,0.0004167459,0.0003570979,0.0004624991,0.0005048852,0.0004345127,0.0003274497,0.0001698311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00043869,"about_ca_system_score_gemma":0.0004308272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001749146,"about_ca_topic_score_gemma":0.001544743,"domain_scores_codex":[0.9997681,0.00004559291,0.00001266701,0.00004086895,0.0001125311,0.00002033832],"domain_scores_gemma":[0.9996357,0.0001414269,0.00006392879,0.00005689335,0.00008479081,0.00001719519],"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":[0.00008109611,0.00008813763,0.002927606,0.0001150461,0.00003124024,0.0001671654,0.0001020626,0.8670312,0.04477443,0.009395758,0.0003644205,0.07492189],"study_design_scores_gemma":[0.000001264251,0.00001115416,0.0002306705,0.000002069585,0.000002374117,0.00002516224,0.000004683225,0.996241,0.002998801,0.0003274379,0.000152209,0.000003118498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05660508,0.0001206282,0.9402878,0.00007354335,0.00001435225,0.00004876687,0.00006369188,0.0003519445,0.002434265],"genre_scores_gemma":[0.6644692,0.0001839307,0.3340095,0.00003015399,0.00001032106,0.00005941919,0.0001150818,0.00004795933,0.001074461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001749146,"threshold_uncertainty_score":0.003477931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09151805789221051,"score_gpt":0.3966868845376588,"score_spread":0.3051688266454483,"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."}}