{"id":"W3118450486","doi":"10.2514/6.2021-0572","title":"Prediction of Airframe Thermal Stresses for Hybrid Composite-Metallic Structure","year":2021,"lang":"en","type":"article","venue":"AIAA Scitech 2021 Forum","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Airframe; Finite element method; Thermoelastic damping; Flexibility (engineering); Materials science; Structural engineering; Thermal; Mechanical engineering; Structural material; Range (aeronautics); Composite number; Computer science; Aerospace engineering; Engineering; Composite material","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":[0.0001664165,0.000475941,0.0002057118,0.0003935692,0.0002555477,0.0003365422,0.0003488997,0.0006225542,0.001903713],"category_scores_gemma":[0.0003455562,0.0002850607,0.0003479501,0.0001566214,0.0002166585,0.0002378515,0.0001994381,0.0002763502,0.0005666586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005707314,"about_ca_system_score_gemma":0.0005035393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01172427,"about_ca_topic_score_gemma":0.01538152,"domain_scores_codex":[0.9999455,0.000006800165,0.000001441233,0.0000147142,0.00002300482,0.000008531523],"domain_scores_gemma":[0.9998654,0.00004899935,0.00002053014,0.000011626,0.00003863215,0.00001479885],"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":[0.00004986548,0.00004010092,0.002548833,0.00001908584,0.000006351279,0.00004805533,0.00002740895,0.9792507,0.01023201,0.0003305525,0.0002910477,0.007156012],"study_design_scores_gemma":[0.000001986563,0.00002360109,0.0006509461,0.000001581321,0.000001047903,0.000004297316,0.000006472598,0.9975561,0.001619769,0.00005331345,0.00007915329,0.000001726282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096414,0.00008785574,0.0821356,0.00006859787,0.00003238972,0.00005668737,0.0004607664,0.0009680287,0.006548603],"genre_scores_gemma":[0.9890924,0.00003017372,0.00842274,0.000005262071,0.000003686173,0.00002189767,0.0001634462,0.00004842276,0.00221212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01172427,"threshold_uncertainty_score":0.02331203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194227071957409,"score_gpt":0.2196221682851407,"score_spread":0.2076798975655666,"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."}}