{"id":"W4389542717","doi":"10.12783/shm2023/36863","title":"DELAMINATION SIZE PREDICTION FOR COMPRESSIVE FATIGUE LOADED COMPOSITE STRUCTURES VIA ULTRASONIC GUIDED WAVE BASED STRUCTURAL HEALTH MONITORING","year":2023,"lang":"en","type":"article","venue":"","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"European Commission","keywords":"Delamination (geology); Ultrasonic sensor; Materials science; Composite number; Structural health monitoring; Composite material; Transducer; Structural engineering; SIGNAL (programming language); Fiber pull-out; Acoustics; Computer science; Composite laminates; Engineering; Geology","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":[0.0002349617,0.0005357972,0.0002105295,0.0004861314,0.00009273869,0.0002081509,0.0003743811,0.0004656301,0.0003303051],"category_scores_gemma":[0.0005253439,0.0001800079,0.0002270263,0.0001703287,0.0001941987,0.0002481989,0.0002572977,0.0003139153,0.00008330255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002636284,"about_ca_system_score_gemma":0.0001934801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003061047,"about_ca_topic_score_gemma":0.004165101,"domain_scores_codex":[0.9999431,0.000007753263,0.000003236329,0.00002007525,0.00001769401,0.000008177357],"domain_scores_gemma":[0.9997826,0.00008313091,0.00005393262,0.00001214503,0.00005342704,0.00001474375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004695055,0.000383991,0.02219126,0.0001315697,0.00006941213,0.0003244539,0.0001540884,0.7170396,0.1008335,0.0003232661,0.0004638741,0.1576154],"study_design_scores_gemma":[0.000001793334,0.00004091129,0.002268257,0.000002285052,0.000004176594,0.00001078649,0.000006341413,0.9949551,0.002636123,0.00004869413,0.00002308791,0.00000249112],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8607588,0.0002741879,0.1375841,0.0000841334,0.00001724712,0.00003471596,0.00008996805,0.0003307548,0.000826153],"genre_scores_gemma":[0.9897081,0.00007515412,0.009730611,0.00001590143,0.000004563222,0.00001925547,0.00007590467,0.000004447194,0.0003661254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003061047,"threshold_uncertainty_score":0.006086469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03315489198798954,"score_gpt":0.2768568390120709,"score_spread":0.2437019470240814,"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."}}